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How to Make a Research Paper Title with Examples

What is a research paper title and why does it matter?

A research paper title summarizes the aim and purpose of your research study. Making a title for your research is one of the most important decisions when writing an article to publish in journals. The research title is the first thing that journal editors and reviewers see when they look at your paper and the only piece of information that fellow researchers will see in a database or search engine query. Good titles that are concise and contain all the relevant terms have been shown to increase citation counts and Altmetric scores .

Therefore, when you title research work, make sure it captures all of the relevant aspects of your study, including the specific topic and problem being investigated. It also should present these elements in a way that is accessible and will captivate readers. Follow these steps to learn how to make a good research title for your work.

How to Make a Research Paper Title in 5 Steps

You might wonder how you are supposed to pick a title from all the content that your manuscript contains—how are you supposed to choose? What will make your research paper title come up in search engines and what will make the people in your field read it? 

In a nutshell, your research title should accurately capture what you have done, it should sound interesting to the people who work on the same or a similar topic, and it should contain the important title keywords that other researchers use when looking for literature in databases. To make the title writing process as simple as possible, we have broken it down into 5 simple steps.

Step 1: Answer some key questions about your research paper

What does your paper seek to answer and what does it accomplish? Try to answer these questions as briefly as possible. You can create these questions by going through each section of your paper and finding the MOST relevant information to make a research title.

Step 2: Identify research study keywords

Now that you have answers to your research questions, find the most important parts of these responses and make these your study keywords. Note that you should only choose the most important terms for your keywords–journals usually request anywhere from 3 to 8 keywords maximum.

Step 3: Research title writing: use these keywords

“We employed a case study of 60 liver transplant patients around the US aged 20-50 years to assess how waiting list volume affects the outcomes of liver transplantation in patients; results indicate a positive correlation between increased waiting list volume and negative prognosis after the transplant procedure.”

The sentence above is clearly much too long for a research paper title. This is why you will trim and polish your title in the next two steps.

Step 4: Create a working research paper title

To create a working title, remove elements that make it a complete “sentence” but keep everything that is important to what the study is about. Delete all unnecessary and redundant words that are not central to the study or that researchers would most likely not use in a database search.

“ We employed a case study of 60 liver transplant patients around the US aged 20-50 years to assess how the waiting list volume affects the outcome of liver transplantation in patients ; results indicate a positive correlation between increased waiting list volume and a negative prognosis after transplant procedure ”

Now shift some words around for proper syntax and rephrase it a bit to shorten the length and make it leaner and more natural. What you are left with is:

“A case study of 60 liver transplant patients around the US aged 20-50 years assessing the impact of waiting list volume on outcome of transplantation and showing a positive correlation between increased waiting list volume and a negative prognosis” (Word Count: 38)

This text is getting closer to what we want in a research title, which is just the most important information. But note that the word count for this working title is still 38 words, whereas the average length of published journal article titles is 16 words or fewer. Therefore, we should eliminate some words and phrases that are not essential to this title.

Step 5: Remove any nonessential words and phrases from your title

Because the number of patients studied and the exact outcome are not the most essential parts of this paper, remove these elements first:

 “A case study of 60 liver transplant patients around the US aged 20-50 years assessing the impact of waiting list volume on outcomes of transplantation and showing a positive correlation between increased waiting list volume and a negative prognosis” (Word Count: 19)

In addition, the methods used in a study are not usually the most searched-for keywords in databases and represent additional details that you may want to remove to make your title leaner. So what is left is:

“Assessing the impact of waiting list volume on outcome and prognosis in liver transplantation patients” (Word Count: 15)

In this final version of the title, one can immediately recognize the subject and what objectives the study aims to achieve. Note that the most important terms appear at the beginning and end of the title: “Assessing,” which is the main action of the study, is placed at the beginning; and “liver transplantation patients,” the specific subject of the study, is placed at the end.

This will aid significantly in your research paper title being found in search engines and database queries, which means that a lot more researchers will be able to locate your article once it is published. In fact, a 2014 review of more than 150,000 papers submitted to the UK’s Research Excellence Framework (REF) database found the style of a paper’s title impacted the number of citations it would typically receive. In most disciplines, articles with shorter, more concise titles yielded more citations.

Adding a Research Paper Subtitle

If your title might require a subtitle to provide more immediate details about your methodology or sample, you can do this by adding this information after a colon:

“ : a case study of US adult patients ages 20-25”

If we abide strictly by our word count rule this may not be necessary or recommended. But every journal has its own standard formatting and style guidelines for research paper titles, so it is a good idea to be aware of the specific journal author instructions , not just when you write the manuscript but also to decide how to create a good title for it.

Research Paper Title Examples

The title examples in the following table illustrate how a title can be interesting but incomplete, complete by uninteresting, complete and interesting but too informal in tone, or some other combination of these. A good research paper title should meet all the requirements in the four columns below.

Tips on Formulating a Good Research Paper Title

In addition to the steps given above, there are a few other important things you want to keep in mind when it comes to how to write a research paper title, regarding formatting, word count, and content:

• Write the title after you’ve written your paper and abstract
• Include all of the essential terms in your paper
• Keep it short and to the point (~16 words or fewer)
• Avoid unnecessary jargon and abbreviations
• Use keywords that capture the content of your paper
• Never include a period at the end—your title is NOT a sentence

Research Paper Writing Resources

We hope this article has been helpful in teaching you how to craft your research paper title. But you might still want to dig deeper into different journal title formats and categories that might be more suitable for specific article types or need help with writing a cover letter for your manuscript submission.

In addition to getting English proofreading services , including paper editing services , before submission to journals, be sure to visit our academic resources papers. Here you can find dozens of articles on manuscript writing, from drafting an outline to finding a target journal to submit to.

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How to write a good research paper title

“Unread science is lost science .”

Credit: Mykyta Dolmatov/Getty

“Unread science is lost science.”

28 July 2020

Mykyta Dolmatov/Getty

With the influx of publications brought on by the pandemic, it’s become more challenging than ever for researchers to attract attention to their work.

Understanding which elements of a title will attract readers – or turn them away – has been proven to increase a paper’s citations and Altmetric score .

“In the era of information overload, most students and researchers do not have time to browse the entire text of a paper,” says Patrick Pu , a librarian at the National University of Singapore.

“The title of a paper, together with its abstract, become very important to capture and sustain the attention of readers.”

1. A good title avoids technical language

Since the primary audience of a paper is likely to be researchers working in the same field, using technical language in the title seems to make sense.

But this alienates the wider lay audience, which can bring valuable attention to your work . It can also alienate inexperienced researchers, or those who have recently entered the field.

“A good title does not use unnecessary jargon,” says Elisa De Ranieri , editor-in-chief at the Nature Communications journal (published by Springer Nature, which also publishes Nature Index.) “It communicates the main results in the study in a way that is clear and accessible, ideally to non-specialists or researchers new to the field.”

How-to: When crafting a title, says De Ranieri, write down the main result of the manuscript in a short paragraph. Shorten the text to make it more concise, while still remaining descriptive. Repeat this process until you have a title of fewer than 15 words.

2. A good title is easily searchable

Most readers today are accessing e-journals, which are indexed in scholarly databases such as Scopus and Google Scholar.

“Although these databases usually index the full text of papers, retrieval weightage for ‘Title’ is usually higher than other fields, such as ‘Results’,” Pu explains.

At the National University of Singapore, Pu and his colleagues run information literacy programmes for editors and authors. They give advice for publishing best practice, such as how to identify the most commonly used keywords in literature searches in a given field.

“A professor once told us how he discovered that industry experts were using a different term or keyword to describe his research area,” says Pu.

“He had written a seminal paper that did not include this ‘industry keyword’. He believes his paper, which was highly cited by academics, would have a higher citation count if he had included this keyword in the title. As librarians, we try to highlight this example to our students so that they will consider all possible keywords to use in their searches and paper titles.”

How-to: Authors should speak to an academic librarian at their institution to gain an understanding of keyword and search trends in their field of research. This should inform how the paper title is written.

3. A good title is substantiated by data

Authors should be cautious to not make any claims in the title that can’t be backed up by evidence.

“For instance, if you make a discovery with potential therapeutic relevance, the title should specify whether it was tested or studied in animals or humans/human samples,” says Irene Jarchum , senior editor at the journal Nature Biotechnology (also published by Springer Nature, which publishes the Nature Index.)

Jarchum adds that titles can be contentious because different authors have different views on the use of specific words, such as acronyms, or more fundamentally, what the main message of the title should be.

Some authors may over-interpret the significance of their preliminary findings, and want to reflect this in the title.

How-to: If you know your paper will be contentious within the scientific community, have the data ready to defend your decisions .

4. A good title sparks curiosity

A one-liner that sparks a reader’s interest can be very effective.

“A title has to pique the interest of the person searching for literature in a split-second – enough that they click on the title to read the abstract. Unread science is lost science,” says Christine Mayer , editor-in-chief of the journal Advanced Therapeutics .

Paper titles such as, "White and wonderful? Microplastics prevail in snow from the Alps to the Arctic" ( 2019 Science ), and “Kids these days: Why the youth of today seem lacking” ( 2019 Science Advances ) are good examples of this principle. Both papers have high Altmetric Attention scores, indicating that they have been widely read and discussed online.

How-to: Take note of the characteristics of paper titles that spark your own interest. Keep a record of these and apply the same principles to your own paper titles.

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Organizing Your Social Sciences Research Paper

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The title summarizes the main idea or ideas of your study. A good title contains the fewest possible words needed to adequately describe the content and/or purpose of your research paper.

Importance of Choosing a Good Title

When searching for research on a topic, the title is almost always read first because it is the key identifier of what is being studied . Given this, it is the most important element that defines the research study. With this in mind, avoid the following when creating a title:

• A title should not be too long. If it is lengthy, this usually means there are too many unnecessary words. Avoid language, such as, "A Study to Investigate the...," or "An Examination of the...." These phrases are obvious and generally superfluous unless they are necessary to covey the scope, intent, or type of study.
• On the other hand, a title which is too short often uses words which are too broad or general and, thus, does not tell the reader what is being studied. For example, a paper with the title, "African Politics" is so non-specific the title could be the title of a book and so ambiguous that it could refer to anything associated with politics in Africa. A good title should provide information about the focus and/or scope of your research study.
• In academic writing, catchy phrases or non-specific language may be used, but only if it's within the context of the study [e.g., "Fair and Impartial Jury--Catch as Catch Can"]. However, in most cases, you should avoid including words or phrases that do not help the reader understand the purpose of your paper. An exception to a catchy phrase could be a short quotation derived from a source used in your study that grabs the reader's attention. However, the quote must be clearly relevant to the topic of the paper.
• Academic writing is a serious and deliberate endeavor. Avoid using humorous or clever journalistic styles of phrasing when creating the title to your paper. Journalistic headlines often use emotional adjectives [e.g., incredible, amazing, effortless] to highlight a problem experienced by the reader or use "trigger words" or interrogative words like how, what, when, or why to persuade people to read the article or click on a link. These approaches are viewed as counter-productive in academic writing. A reader does not need clever or humorous titles to catch their attention because the act of reading research is assumed to be deliberate based on a desire to learn and improve understanding of the problem. In addition, a humorous title can detract from the seriousness and authority of your research. 
• Unlike everywhere else in a college-level social sciences research paper [except when using direct quotes], titles do not have to adhere to rigid grammatical or stylistic standards. For example, it could be appropriate to begin a title with a coordinating conjunction [i.e., and, but, or, nor, for, so, yet] if it makes sense to do so and does not detract from the purpose of the study [e.g., "Yet Another Look at Mutual Fund Tournaments"] or beginning the title with an inflected form of a verb such as those ending in -ing [e.g., "Assessing the Political Landscape: Structure, Cognition, and Power in Organizations"].

Appiah, Kingsley Richard et al. “Structural Organisation of Research Article Titles: A Comparative Study of Titles of Business, Gynaecology and Law.” Advances in Language and Literary Studies 10 (2019); Hartley James. “To Attract or to Inform: What are Titles for?” Journal of Technical Writing and Communication 35 (2005): 203-213; Jaakkola, Maarit. “Journalistic Writing and Style.” In Oxford Research Encyclopedia of Communication . Jon F. Nussbaum, editor. (New York: Oxford University Press, 2018): https://oxfordre.com/communication.

Structure and Writing Style

The following parameters can be used to help you formulate a suitable research paper title:

• The purpose of the research
• The scope of the research
• The narrative tone of the paper [typically defined by the type of the research]
• The methods used to study the problem

The initial aim of a title is to capture the reader’s attention by highlighting the research problem under investigation.

Create a Working Title Typically, the final title you submit to your professor is created after the research is complete so that the title accurately captures what has been done . The working title should be developed early in the research process because it can help anchor the focus of your study in much the same way the research problem does. Referring back to the working title can help you reorient yourself back to the main purpose of the study if you find yourself drifting off on a tangent while researching and writing your paper. The Final Title Effective titles in research papers have a number of characteristics that reflect general principles of academic writing.

• Indicate accurately the subject and scope of the study,
• Rarely use abbreviations or acronyms unless they are commonly known,
• Use words that create a positive impression and stimulate reader interest,
• Use current nomenclature from the field of study,
• Identify key variables, both dependent and independent,
• Reveal how the paper will be organized,
• Suggest a relationship between variables which supports the major hypothesis,
• Is limited to 5 to 12 substantive words,
• Does not include redundant phrasing, such as, "A Study of," "An Analysis of" or similar constructions,
• Takes the form of a question or declarative statement,
• If you use a quote as part of the title, the source of the quote is cited [usually using an asterisk and footnote],
• Use correct grammar and capitalization with all first words and last words capitalized, including the first word of a subtitle. All nouns, pronouns, verbs, adjectives, and adverbs that appear between the first and last words of the title are also capitalized, and
• Avoid using an exclamation mark at the end of the title.

The Subtitle Subtitles are frequently used in social sciences research papers because it helps the reader understand the scope of the study in relation to how it was designed to address the research problem. Often, the main title describes the problem and the subtitle clarifies the context, highlights the method of analysis, or identifies the research setting. Think about what type of subtitle listed below reflects the overall approach to your study and whether you believe a subtitle is needed to emphasize the investigative parameters of your research.

1.  Explains or provides additional context , e.g., "Linguistic Ethnography and the Study of Welfare Institutions as a Flow of Social Practices: The Case of Residential Child Care Institutions as Paradoxical Institutions." [Palomares, Manuel and David Poveda.  Text & Talk: An Interdisciplinary Journal of Language, Discourse and Communication Studies 30 (January 2010): 193-212]

2.  Adds substance to a literary, provocative, or imaginative title or quote , e.g., "Listen to What I Say, Not How I Vote": Congressional Support for the President in Washington and at Home." [Grose, Christian R. and Keesha M. Middlemass. Social Science Quarterly 91 (March 2010): 143-167]

3.  Qualifies the geographic scope of the research , e.g., "The Geopolitics of the Eastern Border of the European Union: The Case of Romania-Moldova-Ukraine." [Marcu, Silvia. Geopolitics 14 (August 2009): 409-432]

4.  Qualifies the temporal scope of the research , e.g., "A Comparison of the Progressive Era and the Depression Years: Societal Influences on Predictions of the Future of the Library, 1895-1940." [Grossman, Hal B. Libraries & the Cultural Record 46 (2011): 102-128]

5.  Focuses on investigating the ideas, theories, or work of a particular individual , e.g., "A Deliberative Conception of Politics: How Francesco Saverio Merlino Related Anarchy and Democracy." [La Torre, Massimo. Sociologia del Diritto 28 (January 2001): 75 - 98]

6.  Identifies the methodology used , e.g. "Student Activism of the 1960s Revisited: A Multivariate Analysis Research Note." [Aron, William S. Social Forces 52 (March 1974): 408-414]

7.  Defines the overarching technique for analyzing the research problem , e.g., "Explaining Territorial Change in Federal Democracies: A Comparative Historical Institutionalist Approach." [ Tillin, Louise. Political Studies 63 (August 2015): 626-641.

With these examples in mind, think about what type of subtitle reflects the overall approach to your study. This will help the reader understand the scope of the study in relation to how it was designed to address the research problem. Keep in mind, however, that although subtitles are commonly used by scholars, they are not required.

Anstey, A. “Writing Style: What's in a Title?” British Journal of Dermatology 170 (May 2014): 1003-1004; Balch, Tucker. How to Compose a Title for Your Research Paper. Augmented Trader blog. School of Interactive Computing, Georgia Tech University; Bavdekar, Sandeep B. “Formulating the Right Title for a Research Article.” Journal of Association of Physicians of India 64 (February 2016); Choosing the Proper Research Paper Titles. AplusReports.com, 2007-2012; Eva, Kevin W. “Titles, Abstracts, and Authors.” In How to Write a Paper . George M. Hall, editor. 5th edition. (Oxford: John Wiley and Sons, 2013), pp. 33-41; Hartley James. “To Attract or to Inform: What are Titles for?” Journal of Technical Writing and Communication 35 (2005): 203-213; General Format. The Writing Lab and The OWL. Purdue University; Kerkut G.A. “Choosing a Title for a Paper.” Comparative Biochemistry and Physiology Part A: Physiology 74 (1983): 1; “Tempting Titles.” In Stylish Academic Writing . Helen Sword, editor. (Cambridge, MA: Harvard University Press, 2012), pp. 63-75; Nundy, Samiran, et al. “How to Choose a Title?” In How to Practice Academic Medicine and Publish from Developing Countries? A Practical Guide . Edited by Samiran Nundy, Atul Kakar, and Zulfiqar A. Bhutta. (Springer Singapore, 2022), pp. 185-192.

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Ever find it hard to come up with a catchy title for your research paper? You're not alone! Many people struggle with creating titles that grab attention and show what their work is about.

It can be frustrating because your title is like a first impression. If it's not interesting, people might ignore your research. 

But no worries! 

In this blog, we'll give you practical tips and examples to make sure your research paper title stands out. 

Whether you're a beginner or an expert, we want to help you write research paper titles that would make others excited about your work!

So, let’s get started.

• 1. What is a Research Paper Title, and Why Does it Matter?
• 2. How to Write a Good Research Paper Title in 5 Steps
• 3. Step 2: Keep it Clear and Concise
• 4. Research Paper Title Examples
• 5. Tips for Writing an Effective Research Paper Title

What is a Research Paper Title, and Why Does it Matter?

A research paper title is like the name tag for your work. It tells people what your research paper is about. It's the first thing readers see, and it's important because it helps them decide if they want to read more.

Think of it like this: Have you ever picked up a book because the title sounded interesting? It's kind of the same idea. A good title grabs attention and makes people curious about what's inside.

In the world of research, a well-crafted title is crucial because it sets the stage for your whole paper. 

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Key Characteristics of a Good Research Paper Title

Here are some important factors that create an engaging and interesting research paper title:

• Clarity and Precision: Clearly conveys the main idea.
• Relevance to Content: Reflects core focus and findings.
• Conciseness: Keeps title brief and to the point.
• Keywords and Phrases: Includes important search keywords.
• Captivating Language: Engages interest without sacrificing accuracy.
• Reflects Paper's Tone: Matches the research paper's tone and style.

How to Write a Good Research Paper Title in 5 Steps

Writing an effective research paper title doesn't have to be difficult. Follow these five straightforward steps to craft a title that not only reflects your research but also captures the reader's interest.

Step 1: Understand Your Paper's Main Message

Think of your research as a big idea or a story. Imagine it as the most important thing you want to share with others. 

Ask yourself: What's the main thing or research problem I want people to know about my research? 

Once you're clear on this, you're ready to move on.

Step 2: Keep it Clear and Concise

When making your title, make it short and simple. Don't use too many words or make it confusing. 

The goal is to make it easy for people to understand what your paper is about right away. Think of it like telling a quick and clear story with your title!

Step 3: Be Specific, Not Too General

When writing your title, make sure it talks about your research and not just anything general. Don't use titles that could fit lots of different studies. 

Being specific helps people know exactly what your paper is going to tell them. It's like giving them a clear roadmap to your research!

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Step 4: Inject a Hint of Creativity or Intrigue

Make your title a little exciting! Use engaging words or ask a fun question to make people curious. Imagine your title as a little mystery that makes them want to learn more

Step 5: Check for Keywords and Relevance

Think about the words people might use when searching for research like yours. Use those words in your title to help people find your work. 

Including relevant keywords can improve the visibility of your paper in searches.

Adding a Research Paper Subtitle

A research paper subtitle is like an extra description that comes after the main title. It gives more details about what your research is about. 

Adding a subtitle is a choice, but it can be helpful. If your main title is short and you want to say more about your research, a subtitle is a good idea. 

It's like a bonus that provides extra information for readers. Consider using a subtitle when you want to give a bit more insight into your research topic.

Research Paper Title Examples

Check out the examples below and see how they perform in front of different factors:

Tips for Writing an Effective Research Paper Title

Follow these tips to make your research paper title engaging and attention-grabbing:

• Add important words related to your research for better search results.
• Make your title brief and clear to convey your research focus effectively.
• Use words that grab attention and spark curiosity about your study.
• Craft a title that anyone, whether an expert or newcomer, can understand.
• Aim for a title that's not too general or too technical, striking the right balance.

In conclusion,

Writing a standout research paper title is a crucial step to ensure your work gets the attention it deserves. Following the simple tips shared in this guide can help you create a title that is clear, engaging, and perfectly aligned with your research focus. 

Remember, your title is the first thing readers see, so making it count is key!

However, if you need writing assistance, MyPerfectWords.com is here for you. Our skilled writers are not only ready to help with writing compelling titles but can also write custom research paper just for you.

So don’t wait! Reach out and buy custom essay online today and take your academic writing to the next level!

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John K. is a professional writer and author with many publications to his name. He has a Ph.D. in the field of management sciences, making him an expert on the subject matter. John is highly sought after for his insights and knowledge, and he regularly delivers keynote speeches and conducts workshops on various topics related to writing and publishing. He is also a regular contributor to various online publications.

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How to Write a Research Paper Title

Knowing how to write a research paper title is an art that not every researcher possesses, and researchers often spend a lot of time skimming through articles to find the right research paper title.

According to an interesting estimate, researchers read more than 100 publications every year and spend long hours, weeks and months searching for and reading articles relevant to their field of study. 1 While open access publishing and online repositories have made it easier to find articles, researchers still need to browse through a sea of research, often using research paper titles, to find relevant information for their research study. Researchers also face the challenge of ensuring their work reaches a broader audience in order to get more citations. This is where the importance of a good title for a research paper becomes evident.

Your research paper title is one of the first things readers in your research paper and plays an important role in influencing whether they will actually go through the entire article. This makes it critical to have a good research paper title that captures the reader’s attention. In this article, we look at the key characteristics of a good research title and what to keep in mind to create a research title that works for you.

Generate outstanding research titles in a click with Paperpal. Try it now!  

What to keep in mind when writing a research paper title

• Convey the key research findings: Before writing a research paper title, list down what your study is about, what you have achieved or discovered, and the methodology used. Try and identify the one or two key elements that make your study novel or significant in your subject area. Combine these elements to create the best research title that showcases your article accurately and effectively.
• Choose a declarative research paper title : Declarative titles are more informative and help readers to quickly grasp what the body of the article may contain. Therefore, it is considered to be more impactful and more likely to attract the reader’s attention. Additionally, most editors agree that papers with declarative titles are more likely to be shared online, allowing researchers to reach a far wider audience. 2
• A good research title must pique reader interest : Researchers browsing through online platforms during their literature search often spend only a few seconds to read the title and evaluate an article’s relevance. This makes it important to create a catchy title for your research paper that will spark curiosity in the minds of your audience, which may prompt them pause, read, share, and discuss your research paper.
• Avoid making any unsubstantiated claims: This is an important aspect to keep in mind when creating research paper titles. While it may be tempting to write titles with claims that will immediately attract reader attention and get you more citations, your research should be able to back-up these claims with substantive, studied evidence. Failing to do so can create mistrust about the research and even hurt your reputation.
• Keep it simple and avoid jargon: It’s tempting to use technical words in a research paper title when you know that your primary audience is most likely to be other researchers working in the same field. However, this can prove counter-productive as readers who are not familiar with these complicated words may end up skipping your article. Some early career researchers might also give your paper a pass as they may feel that it is too technical for them so avoid using jargon.

Let Paperpal generate a suitable title for your content in minutes. Try it now!

• Use phrases to keep your research title concise: One mistake early career researchers make is using full sentences to write the research paper title. Avoid complex phrases and unnecessary details as it makes the title unnecessarily lengthy. Remember to ensure proper syntax when trying to rephrase the title to make it leaner. A good research paper title offers a concise summary of the paper’s content; keep your title to under 12 words as lengthy titles can be hard to understand and may seem unfocused and uninteresting.
• Include keywords to make your article discoverable: Today most researchers turn to online databases and search engines like Google Scholar to find the right research. This makes it critical to identify and use the best keywords for your research subject/topic when creating a research title. The best research paper title is one that is easily discoverable, making it easy for your readers to find and read your article.

A review of more than 150,000 papers  submitted to UK’s Research Excellence Framework (REF) database found that the style of a research paper’s title impacted the number of citations it would typically receive. 3 Writing a good research paper title is worth the time and effort, and we’re sure the points listed above will help!

How to generate research paper titles with Paperpal?

A research paper title is the first impression for journal editors, reviewers, and readers to understand the aim and purpose of your research study. However, picking a research paper title that encapsulates your research’s content can be daunting. Your research paper title should accurately capture your work, contain highly searched keywords, and should also sound interesting to people who work on a similar topic.   

Paperpal’s secure generative AI helps you write research paper titles twice as fast, ensuring they align with your research topic. Follow these simple steps to create an impactful research paper title: 

• Sign Up or Log In: Start by creating an account or logging into Paperpal . 
• Paste your content: Once logged in, paste your research paper’s content or abstract onto the document. 
• Generate your title: Click on ‘Templates’ in the side navigation pane, go to Titles, and select ‘Generate’ . 

Paperpal will analyze your content and propose a fitting research paper title. If it doesn’t quite hit the mark, simply click regenerate to get additional title options until you find the perfect one. Remember, while Paperpal provides a solid starting point, personalizing the title to capture the essence of your research is key to making it stand out.  

• How Scientists Retrieve Publications: An Empirical Study of How the Internet Is Overtaking Paper Media. Journal of Electronic Publishing, December 2000. [Accessed November 3, 2022] Available at https://quod.lib.umich.edu/j/jep/3336451.0006.202?view=text;rgn=main
• Di Girolamo, N. Health care articles with simple and declarative titles were more likely to be in the Altmetric Top 100. Journal of Clinical Epidemiology, December 2016. [Accessed November 3, 2022] Available at https://www.jclinepi.com/article/S0895-4356(16)30853-8/fulltext
• Hudson, J. An analysis of the titles of papers submitted to the UK REF in 2014: authors, disciplines, and stylistic details. Scientometrics, July 2016. [Accessed November 3, 2022] Available at https://link.springer.com/article/10.1007/s11192-016-2081-4

Frequently Asked Questions (FAQs)

It is generally recommended to avoid using a question to write a good research paper title. Titles should be concise and informative, conveying the main focus of the study. While questions can be used in the introduction or research objectives, a clear and declarative title is preferred to accurately represent the content and purpose of the research.

A research paper title should be concise and to the point. Ideally, it should be around 10 to 12 words or less. A shorter title is more effective in grabbing readers’ attention and conveying the main idea succinctly. However, it’s important to ensure that the title still accurately represents the research and provides enough information for readers to understand the scope of the study.

Including specific keywords related to the research topic can be beneficial. Keywords help in indexing and searching for relevant papers. However, it is not necessary to include all keywords in the title. Instead, focus on incorporating essential and relevant keywords that reflect the core aspects of the study. Use keywords that are commonly used and recognized in the field to increase the discoverability and relevance of your research.

Abbreviations or acronyms should generally be avoided in the research paper title. The title should be clear and easily understandable to a broad audience. If an abbreviation is commonly used in the field and is essential to convey the research focus, it can be included, but it’s important to provide the full term upon its first mention in the paper for clarity.

Whether you can change the research paper title after submission depends on the specific guidelines and policies of the journal or conference. Some publications allow minor revisions, including title changes, during the review process. However, it is best to ensure that the title is carefully chosen and reviewed before submission. If a change is necessary, it is recommended to contact the editor or conference organizers for guidance on whether it’s permissible to modify the title.

The preferred formatting style for research paper titles varies depending on the specific guidelines of the target journal or conference. Generally, sentence case is commonly used, where only the first word and proper nouns are capitalized. However, some publications may prefer title case, where the first letter of each major word is capitalized. It is important to carefully review the submission guidelines or consult the specific style guide recommended by the publication to ensure consistency with their preferred formatting style.

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Writing Effective Research Paper Titles: Advice and Examples

Are you ready to submit your research paper for publication but haven't settled on a title yet? Do you have a title but aren't sure if it will be the right one for the journal editor or research database search engines? This article will help you fine tune or create an effective research paper title for your work.

Now that you have finished your research and analysis, and you're ready to take the final step before sending your work to journal editors and reviewers. The first thing journal editors and search engine results will see and show is your research paper title. Creating an effective research paper title is highly important to getting your paper in front of the right people. It is also going to be the only part of your paper that is available to everyone for free, and it will be what search engines use to index and show your work in search results. You therefore must design a clear and persuasive title that accurately represents your work.

When writing an effective research paper title, you want to ensure that the title includes all the relevant aspects of your work. Showcase those aspects in a way that entices the audience to read more. Be sure to use the nomenclature common in your field of study, because that will help your work show up in more search results and it will grab the attention of journal editors looking for articles that clearly represent the industry. If you are studying landslides, for example, you will want to include keywords relating to soil composition or grain size; if you are working on a study about organ transplants, then include the specific feature or procedure that affected successful transplants. Identify what parts of your research are going to interest your intended audience.

There are two key pieces of information that people will need to see in your paper title: the subject and the objective. Because you are already familiar with your study and its purpose, creating an effective research paper title is simply a matter of whittling down the words that describe the important aspects of your paper. The advice below will help you take steps to identify key areas of your research, organize the information, and trim it down to the right size for a title.

Develop a topic statement

To get started, consider a topic statement of your paper that includes the subject and scope of the study. The first step in building a topic statement is to ask yourself the following questions:

• What is your research paper about? "My paper is about gene therapy and how it can improve cognitive function in dementia patients."
• What was the subject of your study? "I used data from 40 dementia patients from 10 states in the US."
• What method did you use to perform your research? "I performed a randomized trial."
• What were the results? "My study showed that gene therapy improved cognitive function in those who received the treatment."

Once you have answered those questions (such as in the example answers above), make a list of the keywords you used. For this example, those keywords would include the following:

• gene therapy
• cognitive function
• 40 dementia patients
• improved cognitive function
• 10 states in the US
• randomized trial

Then, create your topic statement using those keywords. It might read something like this:

"This study is a randomized trial that investigates whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US. The results show improved cognitive function in those who received the treatment."

This statement has 36 words — too long for a title. However, it does contain the main required elements: the subject and the objective. It also includes a summary of the results, which can be used to increase the persuasive nature of the title. If you are writing this down on paper, it may be helpful to underline or circle the keywords you used in the statement, as this will help you visually see how the keywords work together in your statement.

Trim the statement

The next step is to remove all unnecessary words to create a working title. Unnecessary words include elements that make the sentences complete sentences. Also remove words that are not central to your study or that would not be used in a research database search.

" This study is a randomized trial that investigates whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US. The results show improved cognitive function in those who received the treatment ."

Next, take those words and move them around to form a new phrase. This may take a few tries to get it right, but it is worth the time.

"A randomized trial investigating whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US showed improved cognitive function."

This sample now has 24 words. We still need to get it down to the ideal 15 or fewer total words, with just the exact information journal editors will want. One way to do this is to use the keywords at the beginning and end of your title. Remove any irrelevant facts that other researchers will not be searching for. For example, the method you used is not usually the most searched-for keyword.

" A randomized trial investigating whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US showed improved cognitive function. "

The final result may be something like this:

"Investigating the impact of gene therapy on cognitive function in dementia patients"

The resulting title has 13 words, had the main action at the beginning, and the main subject of the study at the end. This is a good example of how to create an effective research paper title that will increase journal editors' and reviewers' interest, and it may even help your paper receive more citations down the road.

Main tips to remember

If you are working on your first research paper title, the process can seem intimidating. Even with the process outlined above, creating the best research paper title possible for your work can be difficult and time consuming. Be sure to set aside a good amount of time to developing your title so that you don't feel rushed. Some writers go through 20 or more iterations before they arrive at a title that achieves effectiveness, persuasiveness, and clarity of purpose all in one.

In addition to the above process, keep the following main tips in mind when writing an effective research paper title:

• Write your paper and abstract first, then work on your title. This will make the process much easier than trying to nail a title down without a full, finished paper to start from.
• Keep your title short! Do not include more than 15 words.
• Do not use a period at the end of your title.
• Be sure that the keywords you use truly represent the content of your paper.
• Do not use abbreviations in your title.
• Include all essential key terms from your paper. This ensures your paper will be indexed properly in research databases and search engines. If you are unsure of the best keywords to use, talk to an academic librarian at your institution. They can help you identify keyword and search trends in your research field.

Examples of research paper titles

The lists below illustrate what effective and ineffective research paper titles look like. Use these examples to help guide your research paper title.

Effective titles

• Nurses on the Move: A Quantitative Report on How Meditation Can Improve Nurse Performance
• Correction of the ion transport defect in cystic fibrosis transgenic mice by gene therapy
• Landslide mapping techniques and their use in the assessment of the landslide hazard
• HLA compatibility and organ transplant survival: Collaborative Transplant Study

Ineffective titles

• Meditation Gurus
• The landslide story
• Landslide hazard and risk assessment
• Pharmacodynamics of oral ganciclovir and valganciclovir in solid organ transplant recipients

No matter what kind of field you are doing research in, you have the opportunity to create an amazing and effective research paper title that will engage your readers and get your paper in front of the journal editors and reviewers you want. By taking the time to go through the title development process, you will finish your work with a title that matches the work outlined in your research paper.

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How To Write A Research Paper

Research Paper Title

How to Write a Good Research Paper Title

10 min read

Published on: Jan 5, 2024

Last updated on: Jul 19, 2024

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In scholarly writing, the title plays a subtle yet pivotal role. Ever wondered how a simple string of words can make or break a research paper's impact?

Your research paper's title serves as the initial point of contact for your reader, forming their first impression of your work. Therefore, careful consideration of your title is crucial.

There are fundamental principles to bear in mind: your title should be informative, attention-grabbing, and contextually fitting. 

This guide provides a detailed view of these essential qualities, by looking at the steps to write a research paper title. We'll break down what makes a great title. 

So let’s get started!

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What is Research Paper Title, and Why is it Important?

A research paper title is a concise and informative heading that encapsulates the main theme or focus of a research study. It serves as the first point of contact between the reader and the research paper, providing a peek into the purpose of the study. 

It is important because the research paper title tells readers what the study is about almost instantly. 

A good title not only grabs attention but also helps in finding the research online. It shows the professionalism of the study and makes it easier for everyone to understand and engage with the research. 

So, a well-crafted title is like a guide that leads readers to the core of the research.

Characteristics of a Good Research Title

According to rhetoric scholars Hairston and Keene , creating an effective paper title involves achieving the goals outlined below:

• Content Preview: A good title gives a glimpse of the research content.
• Engagement Factor: An effective title sparks reader interest.
• Tone Alignment: It reflects the scholarly tone of the paper.
• Keyword Integration: Includes essential keywords for better searchability.
• Prioritize Clarity: Use clear, concise language for broad understanding.
• Embrace Conciseness: Keep titles brief, omitting unnecessary details.
• Ensure Specificity: Include unique details to distinguish the research.

With these 7 characteristics of a research title in mind, let's now explore the steps to craft an ideal research paper title.

How to Write a Research Paper Title in 5 Steps

In the following sections, we'll walk through a five-step process designed to help you create a title that is truly impressive. 

Step 1: Define the Core Elements of Your Research

Before crafting your research paper title, it's essential to answer key questions about your study. These questions help you identify the main focus and key components of your research paper. Consider:

• Research Topic: What is the primary subject of your study?
• Research Problem or Question: What issue are you addressing, or what question are you seeking to answer?
• Methodology: What methods or approaches did you use in your research?
• Results/Findings: What are the main outcomes of your study?

Step 2: Identify Essential Keywords

Identify significant keywords related to your research paper. These terms will play a crucial role in creating a title that effectively communicates your study's focus.

Step 3: Constructing a Research Title Using Keywords 

Combine the identified keywords into a concise and descriptive research paper title. Weave together the essential elements of your study while maintaining clarity and relevance.

The sentence above, describing the research on smoking cessation programs, is undoubtedly too lengthy for a research paper title . Therefore, the forthcoming steps will involve refining and succinctly polishing the title for clarity and conciseness.

Step 4: Develop a Working Research Title

To create a working title, remove elements that make it a complete sentence but keep everything important to the study. Delete unnecessary and redundant words not central to the research or likely excluded from a database search.

Original Working Title:

Refined Title:

Note: The goal is to shorten the title to 16 words or fewer, making it concise and effective for a research paper.

Step 5: Trim Unnecessary Words and Phrases

Remove any nonessential words and phrases from your title. The number of subjects studied and exact outcomes may not be crucial, and detailed methods can be omitted for conciseness. Focus on key terms for database search optimization.

Final Refined Title: 

Adding a Research Paper Subtitle

If your title needs additional details about your methodology or sample, consider adding a subtitle after a colon.

Research Paper Title Examples

Let's start by examining research title examples suitable for students. We will explore the basic formats for research paper title pages, including MLA and APA styles.

Research Paper Title Page MLA

Title Page For A Research Paper APA Style

Scientific Paper Title

Here are 5 examples of research titles for scientific papers:

Tips on Formulating a Good Research Paper Title

When creating a title for your research paper, consider the following general tips to capture the reader's attention and effectively convey the purpose of your study:

• Summarize your research in the fewest possible words to maintain clarity and reader engagement.
• Incorporate essential keywords that researchers working in your field are likely to use.
• Use compelling and attention-grabbing language to make your title stand out.
• Ensure your title accurately captures the purpose of your research, conveying the central question or objective.
• Clearly define the scope of the study in the title, indicating the specific focus of your research.
• Consider phrasing your title in the form of a question if it enhances the intrigue and aligns with the nature of your research.
• Prioritize readability and clarity to make your title easily understandable for a broad audience.
• Optimize your title for search engines by including relevant keywords that researchers might use when seeking similar studies.
• Minimize the use of field-specific jargon that may alienate readers unfamiliar with your subject.
• Ensure the title summarizes the core findings or contributions of your research.

Research Paper Title Checklist

Here's a checklist table to guide you on how to write a research paper title:

In conclusion , writing an effective research paper title is a vital skill that demands accuracy, clarity, and engagement. Prioritize conciseness and specificity while ensuring relevance to the research content. Remember to integrate essential keywords for enhanced searchability. 

If you find yourself struggling, fear not. CollegeEssay.org is here to assist. With a wealth of experience aiding scholars worldwide, our professional writing service ensures meticulously crafted titles that resonate with your research. 

Connect with our research paper writing service for expert assistance – let us elevate your paper's impact and resonance.

Can abbreviations or acronyms be used in the research paper title?

While sparingly acceptable, it's advisable to initially use full terms in the title for clarity. Introduce abbreviations later in the paper to avoid potential confusion for readers unfamiliar with the terms.

Is it advisable to formulate the research paper title as a question?

Crafting the title as a declarative statement is preferable. It provides a clear indication of the study's main focus and findings, enhancing reader engagement and comprehension.

Should the research paper title be in sentence case or title case?

Follow the specific style guidelines recommended by your institution or the publisher. Some styles prefer sentence case (where only the first word and proper nouns are capitalized), while others recommend title case (where major words are capitalized). Consistency is key to maintaining a polished appearance.

Is it permissible to change the research paper title after submission?

Post-submission changes to the title may be challenging, so it's crucial to carefully finalize and review the title before submitting the paper to avoid complications in the publication process.

Is it beneficial to include specific keywords in the research paper title?

Yes, incorporating keywords relevant to your study increases the discoverability of your research. It helps search engines, databases, and readers quickly identify the core themes of your paper.

John K. (Research)

John K. is a professional writer and author with many publications to his name. He has a Ph.D. in the field of management sciences, making him an expert on the subject matter. John is highly sought after for his insights and knowledge, and he regularly delivers keynote speeches and conducts workshops on various topics related to writing and publishing. He is also a regular contributor to various online publications.

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Title, Abstract and Keywords

The importance of titles.

The title of your manuscript is usually the first introduction readers (and reviewers) have to your work. Therefore, you must select a title that grabs attention, accurately describes the contents of your manuscript, and makes people want to read further.

An effective title should:

• Convey the  main topics  of the study
• Highlight the  importance  of the research
• Be  concise
• Attract  readers

Writing a good title for your manuscript can be challenging. First, list the topics covered by the manuscript. Try to put all of the topics together in the title using as few words as possible. A title that is too long will seem clumsy, annoy readers, and probably not meet journal requirements.

Does Vaccinating Children and Adolescents with Inactivated Influenza Virus Inhibit the Spread of Influenza in Unimmunized Residents of Rural Communities?

This title has too many unnecessary words.

Influenza Vaccination of Children: A Randomized Trial

This title doesn’t give enough information about what makes the manuscript interesting.

Effect of Child Influenza Vaccination on Infection Rates in Rural Communities: A Randomized Trial This is an effective title. It is short, easy to understand, and conveys the important aspects of the research.

Think about why your research will be of interest to other scientists. This should be related to the reason you decided to study the topic. If your title makes this clear, it will likely attract more readers to your manuscript. TIP: Write down a few possible titles, and then select the best to refine further. Ask your colleagues their opinion. Spending the time needed to do this will result in a better title.

Abstract and Keywords

The Abstract is:

• A  summary  of the content of the journal manuscript
• A time-saving  shortcut  for busy researchers
• A guide to the most important parts of your manuscript’s written content

Many readers will only read the Abstract of your manuscript. Therefore, it has to be able to  stand alone . In most cases the abstract is the only part of your article that appears in indexing databases such as Web of Science or PubMed and so will be the most accessed part of your article; making a good impression will encourage researchers to read your full paper.

A well written abstract can also help speed up the peer-review process. During peer review, referees are usually only sent the abstract when invited to review the paper. Therefore, the abstract needs to contain enough information about the paper to allow referees to make a judgement as to whether they have enough expertise to review the paper and be engaging enough for them to want to review it.

Your Abstract should answer these questions about your manuscript:

• What was done?
• Why did you do it?
• What did you find?
• Why are these findings useful and important?

Answering these questions lets readers know the most important points about your study, and helps them decide whether they want to read the rest of the paper. Make sure you follow the proper journal manuscript formatting guidelines when preparing your abstract.

TIP: Journals often set a maximum word count for Abstracts, often 250 words, and no citations. This is to ensure that the full Abstract appears in indexing services.

Keywords  are a tool to help indexers and search engines find relevant papers. If database search engines can find your journal manuscript, readers will be able to find it too. This will increase the number of people reading your manuscript, and likely lead to more citations.

However, to be effective, Keywords must be chosen carefully. They should:

• Represent  the content of your manuscript
• Be  specific  to your field or sub-field

Manuscript title:  Direct observation of nonlinear optics in an isolated carbon nanotube

Poor keywords:  molecule, optics, lasers, energy lifetime

Better keywords:  single-molecule interaction, Kerr effect, carbon nanotubes, energy level structure

Manuscript title:  Region-specific neuronal degeneration after okadaic acid administration Poor keywords:  neuron, brain, OA (an abbreviation), regional-specific neuronal degeneration, signaling

Better keywords:  neurodegenerative diseases; CA1 region, hippocampal; okadaic acid; neurotoxins; MAP kinase signaling system; cell death

Manuscript title:  Increases in levels of sediment transport at former glacial-interglacial transitions

Poor keywords:  climate change, erosion, plant effects Better keywords:  quaternary climate change, soil erosion, bioturbation

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How to Write an APA Methods Section | With Examples

Published on February 5, 2021 by Pritha Bhandari . Revised on June 22, 2023.

The methods section of an APA style paper is where you report in detail how you performed your study. Research papers in the social and natural sciences often follow APA style. This article focuses on reporting quantitative research methods .

In your APA methods section, you should report enough information to understand and replicate your study, including detailed information on the sample , measures, and procedures used.

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Table of contents

Structuring an apa methods section.

Participants

Example of an APA methods section

Other interesting articles, frequently asked questions about writing an apa methods section.

The main heading of “Methods” should be centered, boldfaced, and capitalized. Subheadings within this section are left-aligned, boldfaced, and in title case. You can also add lower level headings within these subsections, as long as they follow APA heading styles .

To structure your methods section, you can use the subheadings of “Participants,” “Materials,” and “Procedures.” These headings are not mandatory—aim to organize your methods section using subheadings that make sense for your specific study.

Note that not all of these topics will necessarily be relevant for your study. For example, if you didn’t need to consider outlier removal or ways of assigning participants to different conditions, you don’t have to report these steps.

The APA also provides specific reporting guidelines for different types of research design. These tell you exactly what you need to report for longitudinal designs , replication studies, experimental designs , and so on. If your study uses a combination design, consult APA guidelines for mixed methods studies.

Detailed descriptions of procedures that don’t fit into your main text can be placed in supplemental materials (for example, the exact instructions and tasks given to participants, the full analytical strategy including software code, or additional figures and tables).

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Begin the methods section by reporting sample characteristics, sampling procedures, and the sample size.

Participant or subject characteristics

When discussing people who participate in research, descriptive terms like “participants,” “subjects” and “respondents” can be used. For non-human animal research, “subjects” is more appropriate.

Specify all relevant demographic characteristics of your participants. This may include their age, sex, ethnic or racial group, gender identity, education level, and socioeconomic status. Depending on your study topic, other characteristics like educational or immigration status or language preference may also be relevant.

Be sure to report these characteristics as precisely as possible. This helps the reader understand how far your results may be generalized to other people.

The APA guidelines emphasize writing about participants using bias-free language , so it’s necessary to use inclusive and appropriate terms.

Sampling procedures

Outline how the participants were selected and all inclusion and exclusion criteria applied. Appropriately identify the sampling procedure used. For example, you should only label a sample as random  if you had access to every member of the relevant population.

Of all the people invited to participate in your study, note the percentage that actually did (if you have this data). Additionally, report whether participants were self-selected, either by themselves or by their institutions (e.g., schools may submit student data for research purposes).

Identify any compensation (e.g., course credits or money) that was provided to participants, and mention any institutional review board approvals and ethical standards followed.

Sample size and power

Detail the sample size (per condition) and statistical power that you hoped to achieve, as well as any analyses you performed to determine these numbers.

It’s important to show that your study had enough statistical power to find effects if there were any to be found.

Additionally, state whether your final sample differed from the intended sample. Your interpretations of the study outcomes should be based only on your final sample rather than your intended sample.

Write up the tools and techniques that you used to measure relevant variables. Be as thorough as possible for a complete picture of your techniques.

Primary and secondary measures

Define the primary and secondary outcome measures that will help you answer your primary and secondary research questions.

Specify all instruments used in gathering these measurements and the construct that they measure. These instruments may include hardware, software, or tests, scales, and inventories.

• To cite hardware, indicate the model number and manufacturer.
• To cite common software (e.g., Qualtrics), state the full name along with the version number or the website URL .
• To cite tests, scales or inventories, reference its manual or the article it was published in. It’s also helpful to state the number of items and provide one or two example items.

Make sure to report the settings of (e.g., screen resolution) any specialized apparatus used.

For each instrument used, report measures of the following:

• Reliability : how consistently the method measures something, in terms of internal consistency or test-retest reliability.
• Validity : how precisely the method measures something, in terms of construct validity  or criterion validity .

Giving an example item or two for tests, questionnaires , and interviews is also helpful.

Describe any covariates—these are any additional variables that may explain or predict the outcomes.

Quality of measurements

Review all methods you used to assure the quality of your measurements.

These may include:

• training researchers to collect data reliably,
• using multiple people to assess (e.g., observe or code) the data,
• translation and back-translation of research materials,
• using pilot studies to test your materials on unrelated samples.

For data that’s subjectively coded (for example, classifying open-ended responses), report interrater reliability scores. This tells the reader how similarly each response was rated by multiple raters.

Report all of the procedures applied for administering the study, processing the data, and for planned data analyses.

Data collection methods and research design

Data collection methods refers to the general mode of the instruments: surveys, interviews, observations, focus groups, neuroimaging, cognitive tests, and so on. Summarize exactly how you collected the necessary data.

Describe all procedures you applied in administering surveys, tests, physical recordings, or imaging devices, with enough detail so that someone else can replicate your techniques. If your procedures are very complicated and require long descriptions (e.g., in neuroimaging studies), place these details in supplementary materials.

To report research design, note your overall framework for data collection and analysis. State whether you used an experimental, quasi-experimental, descriptive (observational), correlational, and/or longitudinal design. Also note whether a between-subjects or a within-subjects design was used.

For multi-group studies, report the following design and procedural details as well:

• how participants were assigned to different conditions (e.g., randomization),
• instructions given to the participants in each group,
• interventions for each group,
• the setting and length of each session(s).

Describe whether any masking was used to hide the condition assignment (e.g., placebo or medication condition) from participants or research administrators. Using masking in a multi-group study ensures internal validity by reducing research bias . Explain how this masking was applied and whether its effectiveness was assessed.

Participants were randomly assigned to a control or experimental condition. The survey was administered using Qualtrics (https://www.qualtrics.com). To begin, all participants were given the AAI and a demographics questionnaire to complete, followed by an unrelated filler task. In the control condition , participants completed a short general knowledge test immediately after the filler task. In the experimental condition, participants were asked to visualize themselves taking the test for 3 minutes before they actually did. For more details on the exact instructions and tasks given, see supplementary materials.

Data diagnostics

Outline all steps taken to scrutinize or process the data after collection.

This includes the following:

• Procedures for identifying and removing outliers
• Data transformations to normalize distributions
• Compensation strategies for overcoming missing values

To ensure high validity, you should provide enough detail for your reader to understand how and why you processed or transformed your raw data in these specific ways.

Analytic strategies

The methods section is also where you describe your statistical analysis procedures, but not their outcomes. Their outcomes are reported in the results section.

These procedures should be stated for all primary, secondary, and exploratory hypotheses. While primary and secondary hypotheses are based on a theoretical framework or past studies, exploratory hypotheses are guided by the data you’ve just collected.

This annotated example reports methods for a descriptive correlational survey on the relationship between religiosity and trust in science in the US. Hover over each part for explanation of what is included.

The sample included 879 adults aged between 18 and 28. More than half of the participants were women (56%), and all participants had completed at least 12 years of education. Ethics approval was obtained from the university board before recruitment began. Participants were recruited online through Amazon Mechanical Turk (MTurk; www.mturk.com). We selected for a geographically diverse sample within the Midwest of the US through an initial screening survey. Participants were paid USD $5 upon completion of the study.

A sample size of at least 783 was deemed necessary for detecting a correlation coefficient of ±.1, with a power level of 80% and a significance level of .05, using a sample size calculator (www.sample-size.net/correlation-sample-size/).

The primary outcome measures were the levels of religiosity and trust in science. Religiosity refers to involvement and belief in religious traditions, while trust in science represents confidence in scientists and scientific research outcomes. The secondary outcome measures were gender and parental education levels of participants and whether these characteristics predicted religiosity levels.

Religiosity

Religiosity was measured using the Centrality of Religiosity scale (Huber, 2003). The Likert scale is made up of 15 questions with five subscales of ideology, experience, intellect, public practice, and private practice. An example item is “How often do you experience situations in which you have the feeling that God or something divine intervenes in your life?” Participants were asked to indicate frequency of occurrence by selecting a response ranging from 1 (very often) to 5 (never). The internal consistency of the instrument is .83 (Huber & Huber, 2012).

Trust in Science

Trust in science was assessed using the General Trust in Science index (McCright, Dentzman, Charters & Dietz, 2013). Four Likert scale items were assessed on a scale from 1 (completely distrust) to 5 (completely trust). An example question asks “How much do you distrust or trust scientists to create knowledge that is unbiased and accurate?” Internal consistency was .8.

Potential participants were invited to participate in the survey online using Qualtrics (www.qualtrics.com). The survey consisted of multiple choice questions regarding demographic characteristics, the Centrality of Religiosity scale, an unrelated filler anagram task, and finally the General Trust in Science index. The filler task was included to avoid priming or demand characteristics, and an attention check was embedded within the religiosity scale. For full instructions and details of tasks, see supplementary materials.

For this correlational study , we assessed our primary hypothesis of a relationship between religiosity and trust in science using Pearson moment correlation coefficient. The statistical significance of the correlation coefficient was assessed using a t test. To test our secondary hypothesis of parental education levels and gender as predictors of religiosity, multiple linear regression analysis was used.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Measures of central tendency
• Chi square tests
• Confidence interval
• Quartiles & Quantiles

Methodology

• Cluster sampling
• Stratified sampling
• Thematic analysis
• Cohort study
• Peer review
• Ethnography

Research bias

• Implicit bias
• Cognitive bias
• Conformity bias
• Hawthorne effect
• Availability heuristic
• Attrition bias
• Social desirability bias

In your APA methods section , you should report detailed information on the participants, materials, and procedures used.

• Describe all relevant participant or subject characteristics, the sampling procedures used and the sample size and power .
• Define all primary and secondary measures and discuss the quality of measurements.
• Specify the data collection methods, the research design and data analysis strategy, including any steps taken to transform the data and statistical analyses.

You should report methods using the past tense , even if you haven’t completed your study at the time of writing. That’s because the methods section is intended to describe completed actions or research.

In a scientific paper, the methodology always comes after the introduction and before the results , discussion and conclusion . The same basic structure also applies to a thesis, dissertation , or research proposal .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

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How to Write Catchy Research Paper Titles with Examples

Hey there, fellow researchers! Have you ever felt the struggle of coming up with the perfect title for your paper? You’re not alone. The title is like the headline of your favorite news article – it’s got to be catchy yet informative. Let’s dive into some tips and tricks to ensure your title stands out in the academic crowd.

1. Why is the Research Paper Title Important?

Every word in your title is crucial. It’s the first thing a reviewer or reader will see, and it can determine whether your paper gets read or skipped.

✖ Title is too long, wordy, and confusing An In-depth Examination into The Overall Chance of Becoming a World-Renowned Athlete vs Getting an Executive Position in a Fortune 500 Company ✖ Title is written for a small group of readers Examining Humor in Asian Nations as Expressed in Instagram Videos ✔ Title is short and to the point Autonomous Cars: The Ethical Dilemma

A great title is a concise summary of your research and a sneak peek into your work’s unique aspects and main findings. It’s a balance between being specific and informative without overwhelming the reader with details.

2. Rules for Writing Good Titles

Rules for writing great titles are like rules for good writing in general. Let’s look at some basic rules to follow while crafting a fitting title for your research paper.

2.1 Be Specific and Avoid Being Generic

A generic title is broad, vague, and lacks specificity about the research findings. It does not highlight the research’s unique factors or the study’s contribution.

✖ Generic title An Analysis of Healthcare Data Privacy ✔ Improved title Assessing the Effectiveness of Encryption Techniques in Protecting User Data Privacy in a Healthcare Organization _ Focus of research _ Context _ Aspect being studied

2.2 Highlight Your Main Findings and Unique Aspects

Craft the perfect title using three steps.

2.3 Make it Concise and Short

While a five-word short title may seem ideal, when trying to include the specificity of focus, method, and context, you are likelier to have an 8-12 word title. This length is perfect for journal articles.

✖ Not concise A Comprehensive Examination of the Use and Impact of AI-Driven Predictive Analytics for Improving Patient Outcomes in Healthcare Settings Including Hospitals, Labs, Physician’s Offices and Primary Care Facilities ✔ Concise AI-Driven Predictive Analytics in Healthcare: Improving Patient Outcomes

2.4 Attract Attention to Your Work

You want people to be able to find your research article easily through a Google search. Specificity is essential. Using vague adjectives like novel or unique to describe a method doesn’t mean anything, and these words are not likely to be entered into a search bar. Ask yourself, what would the person likely type into the search bar?

✖ Title with poor searchability A Novel Technique for Learning Science ✔ Title with good searchability AI Driven Exercises for Elementary Science Classes

3. Common Questions

Many questions arise when writing an article title. We will answer some of the most common questions, starting with writing mechanics.

3.1 Should Titles be Grammatically Correct?

You might wonder if using prepositions (for, in, of, for, by) in a title is okay. The answer is yes. It is often necessary for the title to make sense and be grammatically correct. Using articles (the, a, an) correctly is also essential. Let’s look at some examples.

Please remember, a countable singular noun (factor, cause, risk) must be preceded by an article. Are verbs acceptable in titles?  Absolutely. Verbs make titles more dynamic.

Tip: Use the …ing form of verbs rather than vague nouns.

✖ Using abstract nouns The examination and categorization of educational software for high schools ✔ Replace abstract nouns with …ing form of verb Examining and categorizing educational software for high schools

Using verbs in the second example adds action words that depict the tasks performed in the study.

3.2 Can I Add Humor to My Title?

Humor can make a title more engaging and memorable, but it must be balanced with relevance to the research topic. The humor must not detract from the study’s credibility.

3.3 Can I Formulate My Paper Title as a Question?

Titles that ask questions are well-suited to abstracts submitted to conferences. Questioning titles are informal and catch the reader’s attention quickly.  The question must be aligned with the primary focus of the research.

Rule: A title can end with a question mark. However, no other punctuation is required at the end of a title.

3.4 What is the Difference Between Conference and Journal Titles?

When you submit an abstract to a conference, you want it noticed so it will be accepted as a presentation. However, you also hope it will be published in the conference proceedings. You want to attract attention, but the title can’t be too witty as to lose professionalism. Two-part titles work well to blend fun and professionalism.

3.5 When is a Two-Part Title a Good Idea

Two-part titles can pose a question in the first part to grab attention, with the second part providing a more academic description of the content. Two-part questions can also use the second part to explain the first part. Two-part questions must be specific, and the two parts must be connected.

✖ Poorly written two-part title : first and second parts don’t connect Advanced Algorithms in Machine Learning: Can They Really Improve Anything? ✔ Improved title Advanced Algorithms in Predictive Analytics: Are They Transforming Healthcare Outcomes?

The poorly written title does not strongly connect the first and second parts. “Can They Really Improve Anything?” isn’t specific enough to connect to the first part, which also lacks specificity.

Crafting an engaging and informative research article title is crucial for capturing attention and ensuring your work is read. You can create titles that stand out by being specific, highlighting unique findings, keeping titles concise, and ensuring grammatical correctness. Remember, a well-placed question or a bit of humor can enhance your title, but it must remain relevant and professional. Whether for journals or conferences, a well-crafted title can make a difference in the searchability and impact of your research. Happy titling!

If you have any questions, please drop a comment below, and we will answer as soon as possible. We also recommend you to refer to our other blogs on  academic writing tools ,   academic writing resources ,  academic writing phrases ,  research paper examples  and  research paper writing tips  which are relevant to the topic discussed in this blog. 

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Writing the title and abstract for a research paper: Being concise, precise, and meticulous is the key

Milind s. tullu.

Department of Pediatrics, Seth G.S. Medical College and KEM Hospital, Parel, Mumbai, Maharashtra, India

This article deals with formulating a suitable title and an appropriate abstract for an original research paper. The “title” and the “abstract” are the “initial impressions” of a research article, and hence they need to be drafted correctly, accurately, carefully, and meticulously. Often both of these are drafted after the full manuscript is ready. Most readers read only the title and the abstract of a research paper and very few will go on to read the full paper. The title and the abstract are the most important parts of a research paper and should be pleasant to read. The “title” should be descriptive, direct, accurate, appropriate, interesting, concise, precise, unique, and should not be misleading. The “abstract” needs to be simple, specific, clear, unbiased, honest, concise, precise, stand-alone, complete, scholarly, (preferably) structured, and should not be misrepresentative. The abstract should be consistent with the main text of the paper, especially after a revision is made to the paper and should include the key message prominently. It is very important to include the most important words and terms (the “keywords”) in the title and the abstract for appropriate indexing purpose and for retrieval from the search engines and scientific databases. Such keywords should be listed after the abstract. One must adhere to the instructions laid down by the target journal with regard to the style and number of words permitted for the title and the abstract.

Introduction

This article deals with drafting a suitable “title” and an appropriate “abstract” for an original research paper. Because the “title” and the “abstract” are the “initial impressions” or the “face” of a research article, they need to be drafted correctly, accurately, carefully, meticulously, and consume time and energy.[ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ] Often, these are drafted after the complete manuscript draft is ready.[ 2 , 3 , 4 , 5 , 9 , 10 , 11 ] Most readers will read only the title and the abstract of a published research paper, and very few “interested ones” (especially, if the paper is of use to them) will go on to read the full paper.[ 1 , 2 ] One must remember to adhere to the instructions laid down by the “target journal” (the journal for which the author is writing) regarding the style and number of words permitted for the title and the abstract.[ 2 , 4 , 5 , 7 , 8 , 9 , 12 ] Both the title and the abstract are the most important parts of a research paper – for editors (to decide whether to process the paper for further review), for reviewers (to get an initial impression of the paper), and for the readers (as these may be the only parts of the paper available freely and hence, read widely).[ 4 , 8 , 12 ] It may be worth for the novice author to browse through titles and abstracts of several prominent journals (and their target journal as well) to learn more about the wording and styles of the titles and abstracts, as well as the aims and scope of the particular journal.[ 5 , 7 , 9 , 13 ]

The details of the title are discussed under the subheadings of importance, types, drafting, and checklist.

Importance of the title

When a reader browses through the table of contents of a journal issue (hard copy or on website), the title is the “ first detail” or “face” of the paper that is read.[ 2 , 3 , 4 , 5 , 6 , 13 ] Hence, it needs to be simple, direct, accurate, appropriate, specific, functional, interesting, attractive/appealing, concise/brief, precise/focused, unambiguous, memorable, captivating, informative (enough to encourage the reader to read further), unique, catchy, and it should not be misleading.[ 1 , 2 , 3 , 4 , 5 , 6 , 9 , 12 ] It should have “just enough details” to arouse the interest and curiosity of the reader so that the reader then goes ahead with studying the abstract and then (if still interested) the full paper.[ 1 , 2 , 4 , 13 ] Journal websites, electronic databases, and search engines use the words in the title and abstract (the “keywords”) to retrieve a particular paper during a search; hence, the importance of these words in accessing the paper by the readers has been emphasized.[ 3 , 4 , 5 , 6 , 12 , 14 ] Such important words (or keywords) should be arranged in appropriate order of importance as per the context of the paper and should be placed at the beginning of the title (rather than the later part of the title, as some search engines like Google may just display only the first six to seven words of the title).[ 3 , 5 , 12 ] Whimsical, amusing, or clever titles, though initially appealing, may be missed or misread by the busy reader and very short titles may miss the essential scientific words (the “keywords”) used by the indexing agencies to catch and categorize the paper.[ 1 , 3 , 4 , 9 ] Also, amusing or hilarious titles may be taken less seriously by the readers and may be cited less often.[ 4 , 15 ] An excessively long or complicated title may put off the readers.[ 3 , 9 ] It may be a good idea to draft the title after the main body of the text and the abstract are drafted.[ 2 , 3 , 4 , 5 ]

Types of titles

Titles can be descriptive, declarative, or interrogative. They can also be classified as nominal, compound, or full-sentence titles.

Descriptive or neutral title

This has the essential elements of the research theme, that is, the patients/subjects, design, interventions, comparisons/control, and outcome, but does not reveal the main result or the conclusion.[ 3 , 4 , 12 , 16 ] Such a title allows the reader to interpret the findings of the research paper in an impartial manner and with an open mind.[ 3 ] These titles also give complete information about the contents of the article, have several keywords (thus increasing the visibility of the article in search engines), and have increased chances of being read and (then) being cited as well.[ 4 ] Hence, such descriptive titles giving a glimpse of the paper are generally preferred.[ 4 , 16 ]

Declarative title

This title states the main finding of the study in the title itself; it reduces the curiosity of the reader, may point toward a bias on the part of the author, and hence is best avoided.[ 3 , 4 , 12 , 16 ]

Interrogative title

This is the one which has a query or the research question in the title.[ 3 , 4 , 16 ] Though a query in the title has the ability to sensationalize the topic, and has more downloads (but less citations), it can be distracting to the reader and is again best avoided for a research article (but can, at times, be used for a review article).[ 3 , 6 , 16 , 17 ]

From a sentence construct point of view, titles may be nominal (capturing only the main theme of the study), compound (with subtitles to provide additional relevant information such as context, design, location/country, temporal aspect, sample size, importance, and a provocative or a literary; for example, see the title of this review), or full-sentence titles (which are longer and indicate an added degree of certainty of the results).[ 4 , 6 , 9 , 16 ] Any of these constructs may be used depending on the type of article, the key message, and the author's preference or judgement.[ 4 ]

Drafting a suitable title

A stepwise process can be followed to draft the appropriate title. The author should describe the paper in about three sentences, avoiding the results and ensuring that these sentences contain important scientific words/keywords that describe the main contents and subject of the paper.[ 1 , 4 , 6 , 12 ] Then the author should join the sentences to form a single sentence, shorten the length (by removing redundant words or adjectives or phrases), and finally edit the title (thus drafted) to make it more accurate, concise (about 10–15 words), and precise.[ 1 , 3 , 4 , 5 , 9 ] Some journals require that the study design be included in the title, and this may be placed (using a colon) after the primary title.[ 2 , 3 , 4 , 14 ] The title should try to incorporate the Patients, Interventions, Comparisons and Outcome (PICO).[ 3 ] The place of the study may be included in the title (if absolutely necessary), that is, if the patient characteristics (such as study population, socioeconomic conditions, or cultural practices) are expected to vary as per the country (or the place of the study) and have a bearing on the possible outcomes.[ 3 , 6 ] Lengthy titles can be boring and appear unfocused, whereas very short titles may not be representative of the contents of the article; hence, optimum length is required to ensure that the title explains the main theme and content of the manuscript.[ 4 , 5 , 9 ] Abbreviations (except the standard or commonly interpreted ones such as HIV, AIDS, DNA, RNA, CDC, FDA, ECG, and EEG) or acronyms should be avoided in the title, as a reader not familiar with them may skip such an article and nonstandard abbreviations may create problems in indexing the article.[ 3 , 4 , 5 , 6 , 9 , 12 ] Also, too much of technical jargon or chemical formulas in the title may confuse the readers and the article may be skipped by them.[ 4 , 9 ] Numerical values of various parameters (stating study period or sample size) should also be avoided in the titles (unless deemed extremely essential).[ 4 ] It may be worthwhile to take an opinion from a impartial colleague before finalizing the title.[ 4 , 5 , 6 ] Thus, multiple factors (which are, at times, a bit conflicting or contrasting) need to be considered while formulating a title, and hence this should not be done in a hurry.[ 4 , 6 ] Many journals ask the authors to draft a “short title” or “running head” or “running title” for printing in the header or footer of the printed paper.[ 3 , 12 ] This is an abridged version of the main title of up to 40–50 characters, may have standard abbreviations, and helps the reader to navigate through the paper.[ 3 , 12 , 14 ]

Checklist for a good title

Table 1 gives a checklist/useful tips for drafting a good title for a research paper.[ 1 , 2 , 3 , 4 , 5 , 6 , 12 ] Table 2 presents some of the titles used by the author of this article in his earlier research papers, and the appropriateness of the titles has been commented upon. As an individual exercise, the reader may try to improvise upon the titles (further) after reading the corresponding abstract and full paper.

Checklist/useful tips for drafting a good title for a research paper

Some titles used by author of this article in his earlier publications and remark/comment on their appropriateness

The Abstract

The details of the abstract are discussed under the subheadings of importance, types, drafting, and checklist.

Importance of the abstract

The abstract is a summary or synopsis of the full research paper and also needs to have similar characteristics like the title. It needs to be simple, direct, specific, functional, clear, unbiased, honest, concise, precise, self-sufficient, complete, comprehensive, scholarly, balanced, and should not be misleading.[ 1 , 2 , 3 , 7 , 8 , 9 , 10 , 11 , 13 , 17 ] Writing an abstract is to extract and summarize (AB – absolutely, STR – straightforward, ACT – actual data presentation and interpretation).[ 17 ] The title and abstracts are the only sections of the research paper that are often freely available to the readers on the journal websites, search engines, and in many abstracting agencies/databases, whereas the full paper may attract a payment per view or a fee for downloading the pdf copy.[ 1 , 2 , 3 , 7 , 8 , 10 , 11 , 13 , 14 ] The abstract is an independent and stand-alone (that is, well understood without reading the full paper) section of the manuscript and is used by the editor to decide the fate of the article and to choose appropriate reviewers.[ 2 , 7 , 10 , 12 , 13 ] Even the reviewers are initially supplied only with the title and the abstract before they agree to review the full manuscript.[ 7 , 13 ] This is the second most commonly read part of the manuscript, and therefore it should reflect the contents of the main text of the paper accurately and thus act as a “real trailer” of the full article.[ 2 , 7 , 11 ] The readers will go through the full paper only if they find the abstract interesting and relevant to their practice; else they may skip the paper if the abstract is unimpressive.[ 7 , 8 , 9 , 10 , 13 ] The abstract needs to highlight the selling point of the manuscript and succeed in luring the reader to read the complete paper.[ 3 , 7 ] The title and the abstract should be constructed using keywords (key terms/important words) from all the sections of the main text.[ 12 ] Abstracts are also used for submitting research papers to a conference for consideration for presentation (as oral paper or poster).[ 9 , 13 , 17 ] Grammatical and typographic errors reflect poorly on the quality of the abstract, may indicate carelessness/casual attitude on part of the author, and hence should be avoided at all times.[ 9 ]

Types of abstracts

The abstracts can be structured or unstructured. They can also be classified as descriptive or informative abstracts.

Structured and unstructured abstracts

Structured abstracts are followed by most journals, are more informative, and include specific subheadings/subsections under which the abstract needs to be composed.[ 1 , 7 , 8 , 9 , 10 , 11 , 13 , 17 , 18 ] These subheadings usually include context/background, objectives, design, setting, participants, interventions, main outcome measures, results, and conclusions.[ 1 ] Some journals stick to the standard IMRAD format for the structure of the abstracts, and the subheadings would include Introduction/Background, Methods, Results, And (instead of Discussion) the Conclusion/s.[ 1 , 2 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 17 , 18 ] Structured abstracts are more elaborate, informative, easy to read, recall, and peer-review, and hence are preferred; however, they consume more space and can have same limitations as an unstructured abstract.[ 7 , 9 , 18 ] The structured abstracts are (possibly) better understood by the reviewers and readers. Anyway, the choice of the type of the abstract and the subheadings of a structured abstract depend on the particular journal style and is not left to the author's wish.[ 7 , 10 , 12 ] Separate subheadings may be necessary for reporting meta-analysis, educational research, quality improvement work, review, or case study.[ 1 ] Clinical trial abstracts need to include the essential items mentioned in the CONSORT (Consolidated Standards Of Reporting Trials) guidelines.[ 7 , 9 , 14 , 19 ] Similar guidelines exist for various other types of studies, including observational studies and for studies of diagnostic accuracy.[ 20 , 21 ] A useful resource for the above guidelines is available at www.equator-network.org (Enhancing the QUAlity and Transparency Of health Research). Unstructured (or non-structured) abstracts are free-flowing, do not have predefined subheadings, and are commonly used for papers that (usually) do not describe original research.[ 1 , 7 , 9 , 10 ]

The four-point structured abstract: This has the following elements which need to be properly balanced with regard to the content/matter under each subheading:[ 9 ]

Background and/or Objectives: This states why the work was undertaken and is usually written in just a couple of sentences.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 ] The hypothesis/study question and the major objectives are also stated under this subheading.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 ]

Methods: This subsection is the longest, states what was done, and gives essential details of the study design, setting, participants, blinding, sample size, sampling method, intervention/s, duration and follow-up, research instruments, main outcome measures, parameters evaluated, and how the outcomes were assessed or analyzed.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 , 14 , 17 ]

Results/Observations/Findings: This subheading states what was found, is longer, is difficult to draft, and needs to mention important details including the number of study participants, results of analysis (of primary and secondary objectives), and include actual data (numbers, mean, median, standard deviation, “P” values, 95% confidence intervals, effect sizes, relative risks, odds ratio, etc.).[ 3 , 7 , 8 , 9 , 10 , 12 , 13 , 14 , 17 ]

Conclusions: The take-home message (the “so what” of the paper) and other significant/important findings should be stated here, considering the interpretation of the research question/hypothesis and results put together (without overinterpreting the findings) and may also include the author's views on the implications of the study.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 , 14 , 17 ]

The eight-point structured abstract: This has the following eight subheadings – Objectives, Study Design, Study Setting, Participants/Patients, Methods/Intervention, Outcome Measures, Results, and Conclusions.[ 3 , 9 , 18 ] The instructions to authors given by the particular journal state whether they use the four- or eight-point abstract or variants thereof.[ 3 , 14 ]

Descriptive and Informative abstracts

Descriptive abstracts are short (75–150 words), only portray what the paper contains without providing any more details; the reader has to read the full paper to know about its contents and are rarely used for original research papers.[ 7 , 10 ] These are used for case reports, reviews, opinions, and so on.[ 7 , 10 ] Informative abstracts (which may be structured or unstructured as described above) give a complete detailed summary of the article contents and truly reflect the actual research done.[ 7 , 10 ]

Drafting a suitable abstract

It is important to religiously stick to the instructions to authors (format, word limit, font size/style, and subheadings) provided by the journal for which the abstract and the paper are being written.[ 7 , 8 , 9 , 10 , 13 ] Most journals allow 200–300 words for formulating the abstract and it is wise to restrict oneself to this word limit.[ 1 , 2 , 3 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 22 ] Though some authors prefer to draft the abstract initially, followed by the main text of the paper, it is recommended to draft the abstract in the end to maintain accuracy and conformity with the main text of the paper (thus maintaining an easy linkage/alignment with title, on one hand, and the introduction section of the main text, on the other hand).[ 2 , 7 , 9 , 10 , 11 ] The authors should check the subheadings (of the structured abstract) permitted by the target journal, use phrases rather than sentences to draft the content of the abstract, and avoid passive voice.[ 1 , 7 , 9 , 12 ] Next, the authors need to get rid of redundant words and edit the abstract (extensively) to the correct word count permitted (every word in the abstract “counts”!).[ 7 , 8 , 9 , 10 , 13 ] It is important to ensure that the key message, focus, and novelty of the paper are not compromised; the rationale of the study and the basis of the conclusions are clear; and that the abstract is consistent with the main text of the paper.[ 1 , 2 , 3 , 7 , 9 , 11 , 12 , 13 , 14 , 17 , 22 ] This is especially important while submitting a revision of the paper (modified after addressing the reviewer's comments), as the changes made in the main (revised) text of the paper need to be reflected in the (revised) abstract as well.[ 2 , 10 , 12 , 14 , 22 ] Abbreviations should be avoided in an abstract, unless they are conventionally accepted or standard; references, tables, or figures should not be cited in the abstract.[ 7 , 9 , 10 , 11 , 13 ] It may be worthwhile not to rush with the abstract and to get an opinion by an impartial colleague on the content of the abstract; and if possible, the full paper (an “informal” peer-review).[ 1 , 7 , 8 , 9 , 11 , 17 ] Appropriate “Keywords” (three to ten words or phrases) should follow the abstract and should be preferably chosen from the Medical Subject Headings (MeSH) list of the U.S. National Library of Medicine ( https://meshb.nlm.nih.gov/search ) and are used for indexing purposes.[ 2 , 3 , 11 , 12 ] These keywords need to be different from the words in the main title (the title words are automatically used for indexing the article) and can be variants of the terms/phrases used in the title, or words from the abstract and the main text.[ 3 , 12 ] The ICMJE (International Committee of Medical Journal Editors; http://www.icmje.org/ ) also recommends publishing the clinical trial registration number at the end of the abstract.[ 7 , 14 ]

Checklist for a good abstract

Table 3 gives a checklist/useful tips for formulating a good abstract for a research paper.[ 1 , 2 , 3 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 17 , 22 ]

Checklist/useful tips for formulating a good abstract for a research paper

Concluding Remarks

This review article has given a detailed account of the importance and types of titles and abstracts. It has also attempted to give useful hints for drafting an appropriate title and a complete abstract for a research paper. It is hoped that this review will help the authors in their career in medical writing.

Financial support and sponsorship

Conflicts of interest.

There are no conflicts of interest.

Acknowledgement

The author thanks Dr. Hemant Deshmukh - Dean, Seth G.S. Medical College & KEM Hospital, for granting permission to publish this manuscript.

How to Write a Good Research Paper Title: Tips and Examples

Learn how to create good titles for research papers with our comprehensive guide. Discover tips, techniques, and examples to make your research stand out.

Kate Windsor

Jun 16, 2024

Writing a research paper is a crucial part of academic life, but crafting a compelling title can be just as important as the content itself. A good research paper title not only captures the essence of your work but also attracts potential readers and helps your paper stand out in a sea of academic literature. In this comprehensive guide, we'll explore the importance of good titles for research papers, provide tips on creating effective titles, and share examples to inspire your own title-writing process.

Understanding the Importance of a Research Paper Title

Why a good research paper title matters.

A suitable research paper title matters because:

a) It draws readers in and makes a research study stand out.

b) An effective research paper title is less likely to be overlooked.

c) It contributes to the professionalism and impact of the research.

According to a study by Jamali and Nikzad (2011), articles with shorter titles tend to be downloaded more often than those with longer titles. This highlights the importance of creating concise and engaging titles for your research papers.

Dr. John Smith, a renowned professor of psychology, states on research titles, "The title of a research paper is the first thing that readers, including peer reviewers and journal editors, will see. It's crucial to make a strong first impression with a clear, concise, and compelling title."

The role of a title in a research paper

A research title plays a critical role in the research process as it:

a) Facilitates the dissemination of knowledge.

b) Contributes to the professionalism and impact of the research.

c) Serves as a critical component of the overall research communication process.

Moreover, a well-crafted and good title or a good research title can increase the chances of your research paper being accepted for publication in your target journal or a reputable journal. Editors and reviewers often use the title as a first screening tool to determine the relevance and quality of the research.

Crafting a Compelling Research Paper Title

Identifying research study keywords for a strong title

Research titles matter. The best research paper title starts with:

a) Finding the most important parts of your research questions.

b) Choosing only the most important terms for your keywords.

c) Drawing 3 to 8 keywords maximum, avoiding very lengthy titles.

When selecting keywords for your research paper title, consider using tools like Google Keyword Planner or SEMrush to identify high-traffic, relevant keywords in your field of study.

Look at social science research papers or for example, looking at a research paper in the field of environmental science might have a title like: "The Impact of Deforestation on Biodiversity: A Meta-Analysis of Neotropical Rainforests." This title effectively uses keywords such as "deforestation," "biodiversity," and "Neotropical rainforests" to convey the main focus of the research.

Using keywords to create a working research paper title

Descriptive research titles draw keywords.

a) Use the identified keywords to create a research title

b) Ensure the title accurately captures what you have done

c) Keep the title concise and relevant

Easily pronounces technical words in any field

Characteristics of Effective Research Paper Titles

Key qualities of a good research paper title.

A good research title should have the elements below to make it stand out.

a) A good research title should be concise and to the point

b) Accurately reflects or the research title describes the content of the research paper.

c) Easy to understand and remember.

d) Unique and not easily confused with other research titles.

What makes a research paper title stand out

A good title should:

a. Predict the content of the research paper.

b. Be interesting to the reader.

c. Reflect the tone of the writing.

d. Contain important keywords for easier location during a keyword search.

Supporting Evidence:

A study by Habibzadeh and Yadollahie (2010) found that articles with questions in their titles are more likely to be cited than those without. Consider incorporating a question into your research paper title to pique readers' curiosity and encourage engagement.

For instance, a research paper in a particular academic journal like the field of psychology might have a title like: "Can Mindfulness Meditation Reduce Symptoms of Anxiety and Depression? A Randomized Controlled Trial." This title effectively uses a question to grab the reader's attention and clearly conveys the main focus of the research.

Writing a Research Paper Title that Grabs Attention

Techniques for crafting a compelling research paper title

a) Use a clear and concise format, such as [method] study of [topic] among [sample].

b) Use keywords from the research topic to make the title more discoverable.

c) Keep the title short and to the point, avoiding unnecessary words or phrases.

When writing your research paper title, consider the writing tips and best practices for writing scientific papers to ensure your title is effective and engaging.

Avoiding common mistakes in research paper titles

a) Avoid using abbreviations or acronyms unless they are commonly used in the field and are essential to convey the research focus.

b) Eliminate any nonessential words and phrases from your title.

c) Aim for a word count of 16 words or fewer.

The Role of Subtitles in Research Paper Titles

When to use a subtitle and how to write one effectively.

Add a subtitle after a colon to provide more immediate details about methodology or sample. Be aware of the specific journal author instructions for research paper titles.

If your research paper includes an annex , consider mentioning it in the subtitle to provide additional context for your readers.

Examples of Good Research Paper Titles

Analyzing effective research paper titles.

Titles can be interesting but incomplete, complete but uninteresting, or too informal in tone

Examples of research paper titles that work

Good titles that are concise and contain all relevant terms increase citation counts and Altmetric scores.

Here are a few examples of effective research paper titles:

• " The Impact of Social Media on Adolescent Mental Health: A Systematic Review ". This title effectively uses keywords such as "social media," "adolescent," and "mental health" to convey the main focus of the research. The use of "systematic review" indicates the comprehensive nature of the study.
• " Exploring the Relationship Between Exercise and Cognitive Function in Older Adults ". This title clearly states the main variables being investigated (exercise and cognitive function) and the specific population (older adults). It is concise and easy to understand.
• " Evaluating the Effectiveness of Mindfulness-Based Stress Reduction in Chronic Pain Management ". This title effectively communicates the intervention being studied (mindfulness-based stress reduction) and the specific application (chronic pain management). It is specific and informative.
• " The Role of Exosomes in Cancer Progression: A Comprehensive Review ". This title uses keywords such as "exosomes" and "cancer progression" to convey the main focus of the research. The use of "comprehensive review" indicates the depth and breadth of the study.
• " Machine Learning Approaches for Predicting Stock Market Trends: A Comparative Analysis ". This title effectively communicates the main techniques being investigated (machine learning approaches) and the specific application (predicting stock market trends). The use of "comparative analysis" suggests that different approaches will be evaluated and compared.

Refining Your Research Paper Title

Refining your title: removing nonessential words and phrases.

Eliminate any nonessential words and phrases from your title and keep the title concise and relevant. Aim for a word count of 16 words or fewer.

Getting feedback on your research paper title

Consider delegating your most complex tasks to skilled writers. Get feedback from peers, mentors, or editors to refine your title.

When refining your research paper title, consider the order of authors and how it may impact the perceived importance of each contributor.

It is crucial to seek feedback and guidance from your advisors and colleagues when refining your research paper title. They can provide valuable insights and help ensure that your title accurately represents your research and aligns with the requirements of your specific academic discipline. Don't hesitate to reach out to your network for support and advice throughout the title-writing process.

Final Tips for a Good Research Paper Title

Additional tips for writing a good research paper title

Keep in mind the formatting, word count, and content when writing a research paper title and aim for a concise and relevant title. Use a good research paper title to make a significant difference in the success of a research study

In her book "Stylish Academic Writing," Helen Sword (2012) emphasizes the importance of crafting engaging and informative titles to capture readers' attention and effectively communicate the content of your research.

Best practices for research paper titles

A good research paper title should be concise, informative, and accurately represent the content and purpose of the study. Paperpal can help generate outstanding research titles in a click.

Consider the UK's Research Excellence Framework when crafting your title. The UK's Research Excellence Framework (REF) is a system for assessing the quality of research in UK higher education institutions.

When crafting your research paper title, consider how it aligns with the REF's criteria for research quality, which include originality, significance, and rigor. A well-crafted title that effectively communicates the value and impact of your research can contribute to a stronger REF submission.

Joshua Schimel's "Writing Science: How to Write Papers That Get Cited and Proposals That Get Funded" (2012) provides valuable insights into the art of scientific writing, including the importance of creating compelling research paper titles that accurately reflect the content and significance of your work.

Additional Resources for Crafting Effective Research Paper Titles:

1. The Academic Phrasebank - A useful resource for finding appropriate phrases and terminology for your research paper title.

2. Paperpal Title Generator - An online tool that helps generate effective research paper titles based on your keywords and research focus.

In conclusion, writing a good research paper title is a critical aspect of the research process, as it can significantly impact the visibility and success of your work. By understanding the importance of titles, following best practices, and refining your title based on feedback, you can create compelling titles that accurately represent your research and attract the attention of your target audience. Whether you're conducting theoretical research or applied research , a well-crafted title is essential for effectively communicating your findings to the scientific community.

As Michael Alley notes in his book "The Craft of Scientific Writing" (2018), a well-written research paper title not only captures the essence of your work but also serves as a critical tool for attracting readers and increasing the impact of your research.

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Organizing Academic Research Papers: Choosing a Title

• Purpose of Guide
• Design Flaws to Avoid
• Glossary of Research Terms
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Choosing a Title
• Making an Outline
• Paragraph Development
• Executive Summary
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tertiary Sources
• What Is Scholarly vs. Popular?
• Qualitative Methods
• Quantitative Methods
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Annotated Bibliography
• Dealing with Nervousness
• Using Visual Aids
• Grading Someone Else's Paper
• How to Manage Group Projects
• Multiple Book Review Essay
• Reviewing Collected Essays
• About Informed Consent
• Writing Field Notes
• Writing a Policy Memo
• Writing a Research Proposal
• Acknowledgements

The title summarizes the main idea or ideas of your study. A good title contains the fewest possible words that adequately describe the contents and/or purpose of your research paper.

The title is without doubt the part of a paper that is read the most, and it is usually read first . If the title is too long it usually contains too many unnecessary words, e.g., "A Study to Investigate the...." On the other hand, a title which is too short often uses words which are too general. For example, "African Politics" could be the title of a book, but it does not provide any information on the focus of a research paper.

Structure and Writing Style

The following parameters can be used to help you formulate a suitable research paper title:

• The purpose of the research
• The narrative tone of the paper [typically defined by the type of the research]
• The methods used

The initial aim of a title is to capture the reader’s attention and to draw his or her attention to the research problem being investigated.

Create a Working Title Typically, the final title you submit to your professor is created after the research is complete so that the title accurately captures what was done . The working title should be developed early in the research process because it can help anchor the focus of the study in much the same way the research problem does. Referring back to the working title can help you reorient yourself back to the main purpose of the study if you feel yourself drifting off on a tangent while writing. The Final Title Effective titles in academic research papers have several characteristics.

• Indicate accurately the subject and scope of the study.
• Avoid using abbreviations.
• Use words that create a positive impression and stimulate reader interest.
• Use current nomenclature from the field of study.
• Identify key variables, both dependent and independent.
• May reveal how the paper will be organized.
• Suggest a relationship between variables which supports the major hypothesis.
• Is limited to 10 to 15 substantive words.
• Do not include "study of," "analysis of" or similar constructions.
• Titles are usually in the form of a phrase, but can also be in the form of a question.
• Use correct grammar and capitalization with all first words and last words capitalized, including the first word of a subtitle. All nouns,  pronouns, verbs, adjectives, and adverbs that appear between the first and last words of the title are also capitalized.
• In academic papers, rarely is a title followed by an exclamation mark. However, a title or subtitle can be in the form of a question.

The Subtitle Subtitles are quite common in social science research papers. Examples of why you may include a subtitle:

• Explains or provides additional context , e.g., "Linguistic Ethnography and the Study of Welfare Institutions as a Flow of Social Practices: The Case of Residential Child Care Institutions as Paradoxical Institutions."
• Adds substance to a literary, provocative, or imaginative title , e.g., "Listen to What I Say, Not How I Vote: Congressional Support for the President in Washington and at Home."
• Qualifies the geographic scope of the research , e.g., "The Geopolitics of the Eastern Border of the European Union: The Case of Romania-Moldova-Ukraine."
• Qualifies the temporal scope of the research , e.g., "A Comparison of the Progressive Era and the Depression Years: Societal Influences on Predictions of the Future of the Library, 1895-1940."
• Focuses on investigating the ideas, theories, or work of a particular individual , e.g., "A Deliberative Conception of Politics: How Francesco Saverio Merlino Related Anarchy and Democracy."

Balch, Tucker. How to Compose a Title for Your Research Paper . Augmented Trader blog. School of Interactive Computing, Georgia Tech University;  Choosing the Proper Research Paper Titles . AplusReports.com, 2007-2012; General Format. The Writing Lab and The OWL. Purdue University.

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1000+ FREE Research Topics & Title Ideas

Select your area of interest to view a collection of potential research topics and ideas.

Or grab the full list 📋 (for free)

PS – You can also check out our free topic ideation webinar for more ideas

How To Find A Research Topic

If you’re struggling to get started, this step-by-step video tutorial will help you find the perfect research topic.

Research Topic FAQs

What (exactly) is a research topic.

A research topic is the subject of a research project or study – for example, a dissertation or thesis. A research topic typically takes the form of a problem to be solved, or a question to be answered.

A good research topic should be specific enough to allow for focused research and analysis. For example, if you are interested in studying the effects of climate change on agriculture, your research topic could focus on how rising temperatures have impacted crop yields in certain regions over time.

To learn more about the basics of developing a research topic, consider our free research topic ideation webinar.

What constitutes a good research topic?

A strong research topic comprises three important qualities : originality, value and feasibility.

• Originality – a good topic explores an original area or takes a novel angle on an existing area of study.
• Value – a strong research topic provides value and makes a contribution, either academically or practically.
• Feasibility – a good research topic needs to be practical and manageable, given the resource constraints you face.

To learn more about what makes for a high-quality research topic, check out this post .

What's the difference between a research topic and research problem?

A research topic and a research problem are two distinct concepts that are often confused. A research topic is a broader label that indicates the focus of the study , while a research problem is an issue or gap in knowledge within the broader field that needs to be addressed.

To illustrate this distinction, consider a student who has chosen “teenage pregnancy in the United Kingdom” as their research topic. This research topic could encompass any number of issues related to teenage pregnancy such as causes, prevention strategies, health outcomes for mothers and babies, etc.

Within this broad category (the research topic) lies potential areas of inquiry that can be explored further – these become the research problems . For example:

• What factors contribute to higher rates of teenage pregnancy in certain communities?
• How do different types of parenting styles affect teen pregnancy rates?
• What interventions have been successful in reducing teenage pregnancies?

Simply put, a key difference between a research topic and a research problem is scope ; the research topic provides an umbrella under which multiple questions can be asked, while the research problem focuses on one specific question or set of questions within that larger context.

How can I find potential research topics for my project?

There are many steps involved in the process of finding and choosing a high-quality research topic for a dissertation or thesis. We cover these steps in detail in this video (also accessible below).

How can I find quality sources for my research topic?

Finding quality sources is an essential step in the topic ideation process. To do this, you should start by researching scholarly journals, books, and other academic publications related to your topic. These sources can provide reliable information on a wide range of topics. Additionally, they may contain data or statistics that can help support your argument or conclusions.

Identifying Relevant Sources

When searching for relevant sources, it’s important to look beyond just published material; try using online databases such as Google Scholar or JSTOR to find articles from reputable journals that have been peer-reviewed by experts in the field.

You can also use search engines like Google or Bing to locate websites with useful information about your topic. However, be sure to evaluate any website before citing it as a source—look for evidence of authorship (such as an “About Us” page) and make sure the content is up-to-date and accurate before relying on it.

Evaluating Sources

Once you’ve identified potential sources for your research project, take some time to evaluate them thoroughly before deciding which ones will best serve your purpose. Consider factors such as author credibility (are they an expert in their field?), publication date (is the source current?), objectivity (does the author present both sides of an issue?) and relevance (how closely does this source relate to my specific topic?).

By researching the current literature on your topic, you can identify potential sources that will help to provide quality information. Once you’ve identified these sources, it’s time to look for a gap in the research and determine what new knowledge could be gained from further study.

How can I find a good research gap?

Finding a strong gap in the literature is an essential step when looking for potential research topics. We explain what research gaps are and how to find them in this post.

How should I evaluate potential research topics/ideas?

When evaluating potential research topics, it is important to consider the factors that make for a strong topic (we discussed these earlier). Specifically:

• Originality
• Feasibility

So, when you have a list of potential topics or ideas, assess each of them in terms of these three criteria. A good topic should take a unique angle, provide value (either to academia or practitioners), and be practical enough for you to pull off, given your limited resources.

Finally, you should also assess whether this project could lead to potential career opportunities such as internships or job offers down the line. Make sure that you are researching something that is relevant enough so that it can benefit your professional development in some way. Additionally, consider how each research topic aligns with your career goals and interests; researching something that you are passionate about can help keep motivation high throughout the process.

How can I assess the feasibility of a research topic?

When evaluating the feasibility and practicality of a research topic, it is important to consider several factors.

First, you should assess whether or not the research topic is within your area of competence. Of course, when you start out, you are not expected to be the world’s leading expert, but do should at least have some foundational knowledge.

Time commitment

When considering a research topic, you should think about how much time will be required for completion. Depending on your field of study, some topics may require more time than others due to their complexity or scope.

Additionally, if you plan on collaborating with other researchers or institutions in order to complete your project, additional considerations must be taken into account such as coordinating schedules and ensuring that all parties involved have adequate resources available.

Resources needed

It’s also critically important to consider what type of resources are necessary in order to conduct the research successfully. This includes physical materials such as lab equipment and chemicals but can also include intangible items like access to certain databases or software programs which may be necessary depending on the nature of your work. Additionally, if there are costs associated with obtaining these materials then this must also be factored into your evaluation process.

Potential risks

It’s important to consider the inherent potential risks for each potential research topic. These can include ethical risks (challenges getting ethical approval), data risks (not being able to access the data you’ll need), technical risks relating to the equipment you’ll use and funding risks (not securing the necessary financial back to undertake the research).

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Speaker 1: Today we will discuss what is perhaps the most single important element of your research paper, the title. The title is the first thing that journal editors and reviewers see when they look at your paper. It is also the only piece of information that fellow researchers will see in a database or search engine query. Therefore, you want to make sure the title captures all of the relevant aspects of your study but does so in a way that is accessible and captivating to readers. Follow these steps to create a perfect title for your paper. First, ask yourself some questions about what your paper seeks to answer and what it accomplishes. What is my paper about? My paper studies how program volume affects outcomes for liver transplant patients on waiting lists. What methods or techniques did I use to perform my study? I employed a case study. What or who was the subject of my study? I studied 60 liver transplant patients on a waiting list in the U.S. aged 20 to 50 years. What were the results? Positive correlation between waiting list volume and poor outcome of transplant procedure. After answering these questions, move on to the second step, which is to identify and list key words and phrases from these responses. Program volume, outcomes, liver transplant patients, waiting lists, case study, 60 liver transplant patients, age 20 to 50 years, positive correlation. These keywords will form the foundation of your title. Once you have identified and listed these keywords, use them to create one long sentence. This study used a case study of 60 liver transplant patients around the U.S. aged 20 to 50 years to assess how the waiting list volume affects the outcome of liver transplantation in patients. These indicate a positive correlation between increased waiting list volume and a negative prognosis after transplant procedure. Next create a working title. Remove elements that make it a complete sentence, but keep everything that is most important to what the study is about. Delete all unnecessary or redundant words. Now let's shift some words around and rephrase it a bit to shorten the length and make it leaner and yet more natural. What you are left with is a case study of 60 liver transplant patients around the U.S. aged 20 to 50 years assessing the impact of waiting list volume on outcome of a transplantation and showing a positive correlation between increased waiting list volume and negative prognosis. This is getting closer to what we want in a title, which is just the most important information. But note that the word count for this working title is still 38 words, whereas the average published journal article title is 16 words or fewer. Therefore we need to eliminate some words and phrases that are not essential to the title. In step 5 you will delete all extra words and phrases and put key words at the beginning and end of your title. Since the number of patients studied and the exact outcome are not the most essential elements of this paper, remove these elements first. In addition, the methods used in a study are not usually the most searched for keywords in databases and represent additional details that you may want to remove to make your title a little leaner. So we are left with assessing the impact of waiting list volume on outcome and prognosis in liver transplantation patients. In this final version you can immediately see how much clearer the title is and what the study is about and what it aims to achieve. And note that the important terms are written at the beginning and the end of the title. Assessing, which is the main action of the study, is at the beginning and liver transplantation patients, the specific subject of the study, is given at the end. This will help a lot with search engine and database queries, meaning that a lot more researchers will find your article once it is published. And if you want to add a subtitle to give more detail about methodology, you can do this by putting this information after a colon. A case study of US adult patients ages 20 to 25. We abide strictly by our word count rule, this may be unnecessary, but every journal has its own standard formatting and style guidelines for titles, so it's a good idea to be aware of these both while writing your title and writing the study itself. So let's review these steps. First, answer some basic questions about your paper. Next, identify and list keywords and phrases from these responses. Third, turn these keywords into a long sentence. Out of this long sentence you can create a working title, deleting any unnecessary and redundant words. Last, delete any extra elements to meet a suitable word count for your title. Note key terms at the beginning and the end, and again you may add a subtitle if it seems necessary or important to this study. Keep these tips in mind when creating your research paper title. Write the title after you've written your paper in abstract. Include all of your paper's essential terms. Keep it short and to the point, about 16 words or fewer is best. Avoid using jargon or abbreviations that will not be understandable by the general reader. Use keywords that closely relate to the content of your paper, and never use a period at the end of your title. Remember, your title is not a sentence. For more tips on how to improve your writing, visit wordvice.com and check out our resources page where you will find a great many helpful articles and videos. And be sure to subscribe to our YouTube channel and social media pages to stay up to date with more excellent academic writing and journal publications content.

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• Try to find a subject that really interests you.
• While you explore the topic, narrow or broaden your target and focus on something that gives the most promising results.
• Don't choose a huge subject if you have to write a 3 page long paper, and broaden your topic sufficiently if you have to submit at least 25 pages.
• Consult your class instructor (and your classmates) about the topic.

Explore the topic.

• Find primary and secondary sources in the library.
• Read and critically analyse them.
• Take notes.
• Compile surveys, collect data, gather materials for quantitative analysis (if these are good methods to investigate the topic more deeply).
• Come up with new ideas about the topic. Try to formulate your ideas in a few sentences.
• Review your notes and other materials and enrich the outline.
• Try to estimate how long the individual parts will be.
• Do others understand what you want to say?
• Do they accept it as new knowledge or relevant and important for a paper?
• Do they agree that your thoughts will result in a successful paper?
• Qualitative: gives answers on questions (how, why, when, who, what, etc.) by investigating an issue
• Quantitative:requires data and the analysis of data as well
• the essence, the point of the research paper in one or two sentences.
• a statement that can be proved or disproved.
• Be specific.
• Avoid ambiguity.
• Use predominantly the active voice, not the passive.
• Deal with one issue in one paragraph.
• Be accurate.
• Double-check your data, references, citations and statements.

Academic Expression

• Don't use familiar style or colloquial/slang expressions.
• Write in full sentences.
• Check the meaning of the words if you don't know exactly what they mean.
• Avoid metaphors.
• Almost the rough content of every paragraph.
• The order of the various topics in your paper.
• On the basis of the outline, start writing a part by planning the content, and then write it down.
• Put a visible mark (which you will later delete) where you need to quote a source, and write in the citation when you finish writing that part or a bigger part.
• Does the text make sense?
• Could you explain what you wanted?
• Did you write good sentences?
• Is there something missing?
• Check the spelling.
• Complete the citations, bring them in standard format.

Use the guidelines that your instructor requires (MLA, Chicago, APA, Turabian, etc.).

• Adjust margins, spacing, paragraph indentation, place of page numbers, etc.
• Standardize the bibliography or footnotes according to the guidelines.

• EndNote and EndNote Basic by UCLA Library Last Updated Jul 3, 2024 2210 views this year
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(Based on English Composition 2 from Illinois Valley Community College):

• Weak organization
• Poor support and development of ideas
• Weak use of secondary sources
• Excessive errors
• Stylistic weakness

When collecting materials, selecting research topic, and writing the paper:

• Be systematic and organized (e.g. keep your bibliography neat and organized; write your notes in a neat way, so that you can find them later on.
• Use your critical thinking ability when you read.
• Write down your thoughts (so that you can reconstruct them later).
• Stop when you have a really good idea and think about whether you could enlarge it to a whole research paper. If yes, take much longer notes.
• When you write down a quotation or summarize somebody else's thoughts in your notes or in the paper, cite the source (i.e. write down the author, title, publication place, year, page number).
• If you quote or summarize a thought from the internet, cite the internet source.
• Write an outline that is detailed enough to remind you about the content.
• Read your paper for yourself or, preferably, somebody else. 
• When you finish writing, check the spelling;
• Use the citation form (MLA, Chicago, or other) that your instructor requires and use it everywhere.

Plagiarism : somebody else's words or ideas presented without citation by an author

• Cite your source every time when you quote a part of somebody's work.
• Cite your source  every time when you summarize a thought from somebody's work.
• Cite your source  every time when you use a source (quote or summarize) from the Internet.

Consult the Citing Sources research guide for further details.

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Home » Research Methodology – Types, Examples and writing Guide

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

• Provide an overview of the research problem and the need for a research methodology section
• Outline the main research questions and objectives

II. Research Design

• Explain the research design chosen and why it is appropriate for the research question(s) and objectives
• Discuss any alternative research designs considered and why they were not chosen
• Describe the research setting and participants (if applicable)

III. Data Collection Methods

• Describe the methods used to collect data (e.g., surveys, interviews, observations)
• Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

• Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
• Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or software used for data analysis

V. Ethical Considerations

• Discuss any ethical issues that may arise from the research and how they were addressed
• Explain how informed consent was obtained (if applicable)
• Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

• Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

• Summarize the key aspects of the research methodology section
• Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

• Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
• Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
• Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
• Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
• Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
• Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
• Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
• Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

• To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
• To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
• To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
• To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
• To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
• To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
• To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
• To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
• To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

• To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
• To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
• To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
• To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
• To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

• Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
• Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
• Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
• Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
• Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
• Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
• Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
• Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

About the author

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Researcher, Academic Writer, Web developer

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• Step 1: Sections in a Research Paper
• Step 2: Order for Preparation
• Step 3: Conceptualizing an Attractive Title
• Step 4: Effectively Reviewing Literature
• Step 5: Drafting the Abstract
• Step 6: Drafting Introduction
• Step 7: Drafting Materials and Methods
• Step 8: Drafting Results
• Step 9: Drafting Discussion
• Step 10: Drafting the Conclusion
• Step 11: Citing and Referencing
• Step 12: Preparing Figures
• Step 13: Preparing Tables
• Step 14: Assigning Authorship
• Step 15: Acknowledgements Section
• Step 16: Checking the Author Guidelines
• Step 17: Proofreading and Editing
• Step 18: Pre-submission Peer-Review
• Step 1: How to Structure a Research Paper?
• Step 3: How to Conceptualize an Attractive Research Paper Title?
• Step 4: How to Conduct an Effective Literature Review
• Step 5: How to Write a Good Research Paper Abstract
• Step 6: How to Write a Compelling Introduction for a Research Paper
• Step 7: How to Write the Materials and Methods Section of a Research Paper
• Step 8: How to Write the Results Section of a Research Paper
• Step 9: How to Write the Discussion Section of a Research Paper
• Step 10: How to Write the Conclusion of a Research Paper
• Step 15: How to Write an Acknowledgment Section for a Research Paper

How to Write a Research Paper – A to Z of Academic Writing

Part of a scientist’s job is to publish research. In fact, some would argue that your experiment is only complete once you have published the results. This makes it available to the scientific community for authentication and the advancement of science. In addition, publishing is essential for a researcher’s career as it validates the research and opens doors for funding and employment. In this section, we give you a step-by-step guide to help you write an effective research paper. So, remember to set aside half an hour each day to write. This habit will make your writing manageable and keep you focused.

There are different types of research papers. The most common ones include:

Original research paper, rapid communication or letter, review article, meeting abstract, paper, and proceedings.

This is a full report written by researchers covering the analysis of their experimental study from start to finish. It is the most common type research manuscript that is published in academic journals. Original articles are expected to follow the IMRAD format.

These are usually written to publish results urgently in rapidly changing or highly competitive fields. They will be brief and may not be separated by headings.It consists of original preliminary results that are likely to have a significant impact in the respective field.

This is a comprehensive summary of a certain topic. It is usually requested by a journal editor and written by a leader in the field. It includes current assessment, latest findings, and future directions of the field. It is a massive undertaking in which approximately 100 research articles are cited. Uninvited reviews are published too, but it is best to send a pre-submission enquiry letter to the journal editor first.

This is mostly used in the medical field to report interesting occurrences such as previously unknown or emerging pathologies. It could be a report of a single case or multiple cases and will include a short introduction, methods, results, and discussion.

This is a brief report of research presented at an organized meeting such as a conference. These range from an abstract to a full report of the research. It needs to be focused and clear in explaining your topic and the main points of the study that will be shared with the audience.

• STEP 1: How to Structure a Research Paper?
• STEP 2: Order for Preparation of the Manuscript
• STEP 3: How to Conceptualize an Attractive Research Paper Title?
• STEP 4: How to Conduct an Effective Literature Review
• STEP 5: How to Write a Good Research Paper Abstract
• STEP 6: How to Write a Compelling Introduction for a Research Paper
• STEP 7: How to Write the Materials and Methods Section of a Research Paper
• STEP 8: How to Write the Results Section of a Research Paper
• STEP 9: How to Write the Discussion Section of a Research Paper
• STEP 10: How to Write the Conclusion of a Research Paper
• STEP 11: Effectively Citing and Referencing Your Sources
• STEP 12: Preparing Figures
• STEP 13: Preparing Tables
• STEP 14: Assigning Authorship
• STEP 15: How to Write an Acknowledgment Section for a Research Paper
• STEP 16: Checking the Author Guidelines Before Preparing the Manuscript
• STEP 17: Proofreading and Editing Your Manuscript
• STEP 18: Pre-submission Peer-Review

How to Structure a Research Paper?

Your research paper should tell a story of how you began your research, what you found, and how it advances your research field. It is important to structure your research paper so that editors and readers can easily find information. The widely adopted structure that research papers mostly follow is the IMRaD format . IMRaD stands for Introduction, Methods, Results, and Discussion. Additional requirements from journals include an abstract, keywords, acknowledgements, and references. This format helps scientists to tell their story in an organized manner. Authors often find it easier to write the IMRaD sections in a different order. However, the final paper should be collated in the IMRaD format as follows:

Case studies follow a slightly different format to the traditional IMRAD format. They include the following extra sections:

• History and physical examination: Details of the patient’s history. It provides the story of when a patient first sought medical care.
• Diagnostic focus and assessment : Describe the steps taken that lead to a diagnosis and any test results.
• Therapeutic focus and assessment: Explain therapies tried and any other recommendations from consultants. Assess the efficacy of the treatments given.
• Follow-up and outcome: Provide results and state the patient adhered to treatment. Include any side effects.
• Patient perspective: Describe the patient’s experience.
• Patient consent: State that informed consent was obtained from the patient.

Order for Preparation of the Manuscript

As mentioned above, most research publications follow the IMRAD format. However, it is often easier to write each section in a different order than that of the final paper.

Authors recommend you organize the data first and then write the sections as follows:

• Figures and tables: Decide how your data should be presented. You can use graphics, tables or describe it in the text.
• Methods: It is important that anyone can use your methods to reproduce your experiments.
• Results: Here you write only what the results of your experiments were. You do not discuss them here.
• Discussion: This section requires analysis, thought, and a thorough understanding of the literature. You need to discuss your results without repeating the results section.
• Conclusion: This section can either be under a sub-heading or the last paragraph of the discussion. It should inform the reader how your results advance the field.
• Introduction: Now that you have thought about your results in the context of the literature, you can write your introduction.
• Abstract: This is an overview of your paper. Give a concise background of the problem and how you tried to solve it. Next state your main findings.
• Title: As discussed above, this needs to be concise as well as informative. Ensure that it makes sense.
• Keywords: These are used for indexing. Keywords need to be specific. Often you are not allowed to use words that appear in the journal name. Use abbreviations with care and only well-established ones.
• Acknowledgements: This section is to thank anyone involved in the research that does not qualify as an author.
• References: Check the “Guide for authors” for the formatting style. Be accurate and do not include unnecessary references.

How to Conceptualize an Attractive Research Paper Title?

Your research title is the first impression of your paper. A good research paper title is a brief description of the topic, method, sample, and results of your study. A useful formula you could use is:

There are different ways to write a research paper title :

Declarative

State the main conclusions. Example: Mixed strains of probiotics improve antibiotic associated diarrhea.

Descriptive

Describe the subject. Example: Effects of mixed strains of probiotics on antibiotic associated diarrhea.

Interrogative

Use a question for the subject. Example: Do mixed strains of probiotics improve antibiotic associated diarrhea?

We recommend the following five top tips to conceptualize an attractive research title:

• Be descriptive
• Use a low word count (5-15 words)
• Check journal guidelines
• Avoid jargon and symbols

How to Conduct an Effective Literature Review

The process of conducting a literature review can be overwhelming. However, if you start with a clear research question, you can stay focused.

• Literature search: Search for articles related to your research question. Keep notes of the search terms and keywords you use. A list of databases to search and notes of the ones you have searched will prevent duplicate searches.

- What is their research question?

- Are there potential conflicts of interest such as funders who may want a particular result?

- Are their methods sufficient to test the objectives?

- Can you identify any flaws in the research?

- Do their results make sense, or could there be other reasons for their conclusion?

- Are the authors respected in the field?

- Has the research been cited?

- Introduction: Here you introduce the topic. The introduction describes the problem and identifies gaps in knowledge. It also rationalizes your research.

- Discussion: Here you support and compare your results. Use the literature to put your research in context with the current state of knowledge. Furthermore, show how your research has advanced the field.

How to Write a Good Research Paper Abstract

The importance of research paper abstracts  cannot be emphasized enough.

• They are used by online databases to index large research works. Therefore, critical keywords must be used.
• Editors and reviewers read an abstract to decide whether an article is worth considering for publication.
• Readers use an abstract to decide whether the research is relevant to them.

A good research paper abstract is a concise and appealing synopsis of your research. There are two ways to write an abstract:  structured and unstructured research abstracts . The author guidelines of the journal you are submitting your research to will tell you the format they require.

• The structured abstract has distinct sections with headings. This style enables a reader to easily find the relevant information under clear headings (objective, methods, results, and conclusion). Think of each section as a question and provide a concise but detailed answer under each heading.
• The unstructured abstract is a narrative paragraph of your research. It is similar to the structured abstract but does not contain headings. It gives the context, findings, conclusion, and implications of your paper.

How to Write a Compelling Introduction for a Research Paper

The Introduction section of your research paper introduces your research  in the context of the knowledge in the field. First introduce the topic including the problem you are addressing, the importance of solving this problem, and known research and gaps in the knowledge. Then narrow it down to your research questions and hypothesis.

Tips to write an effective introduction for your research paper :

• Give broad background information about the problem.
• Write it in a logical manner so that the reader can follow your thought process.
• Focus on the problem you intend to solve with your research
• Note any solutions in the literature thus far.
• Propose your solution to the problem with reasons.

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How to Write the Materials and Methods Section of a Research Paper

When writing the Materials and Methods section of a research paper, you need to give enough detail in your methods  so that others can reproduce your experiments. However, there is no need to detail established experiments. Readers can find these details in the previously published references you refer to in the methods. Follow these tips to write the Materials and Methods section of your research paper: :

• Write in the past tense because you are reporting on procedures you carried out.
• Avoid unnecessary details that disrupts the flow.
• Materials and equipments should be mentioned throughout the procedure, rather than listed at the beginning of a section.
• Detail any ethics or consent requirements if your study included humans or animal subjects.
• Use standard nomenclature and numbers.
• Ensure you have the correct control experiments.
• Methods should be listed logically.
• Detail statistical methods used to analyze your data.

Here is a checklist of things that should be in your Materials and Methods:

• References of previously published methods.
• Study settings : If the research involves studying a population, give location and context of the site.
• Cell lines : Give their source and detail any contamination tests performed.
• Antibodies : Give details such as catalogue numbers, citations, dilutions used, and batch numbers.
• Animal models : Species, age, and sex of animals as well as ethical compliance information.
• Human subjects : Ethics committee requirements and a statement confirming you received informed consent. If relevant, clinical trial registration numbers and selection criteria.
• Data accession codes for data you deposited in a repository.
• Software : Where you obtained the programs and their version numbers.
• Statistics : Criteria for including or excluding samples or subjects, randomisation methods, details of investigator blinding to avoid bias, appropriateness of statistical tests used for your study.
• Timeframes if relevant.

How to Write the Results Section of a Research Paper

Some journals combine the results and discussion section, whereas others have separate headings for each section. If the two sections are combined, you state the results of your research   and discuss them immediately afterwards, before presenting your next set of results.  The challenge is to present your data in a way that is logical and accurate. Set out your results in the same order as you set out your methods.

When writing the Results section of your research paper remember to include:

• Control group data.
• Relevant statistical values such as p-values.
• Visual illustrations of your results such as figures and tables.

Things that do not belong in the results section:

• Speculation or commentary about the results.
• References – you are reporting your own data.
• Do not repeat data in text if it has been presented in a table or graph.

Keep the discussion section separate . Keep explanations, interpretations, limitations, and comparisons to the literature for the discussion.

How to Write the Discussion Section of a Research Paper

The discussion section of your research paper answers several questions such as: did you achieve your objectives? How do your results compare to other studies? Were there any limitations to your research? Start discussing your data specifically and then broaden out to how it furthers your field of interest.

Questions to get you started:

• How do your results answer your objectives?
• Why do you think your results are different to published data?
• Do you think further research would help clarify any issues with your data?

The aim is to tell the reader what your results mean. Structure the discussion section of your research paper  in a logical manner. Start with an introductory paragraph where you set out the context and main aims of the study. Do this without repeating the introduction. Some authors prefer starting with the major findings first to keep the readers interested.

The next paragraph should discuss what you found, how it compares to other studies, any limitations, your opinion, and what they mean for the field.

The concluding paragraph should talk about the major outcomes of the study. Be careful not to write your conclusion here. Merely highlight the main themes emerging from your data.

Tips to write an effective discussion:

• It is not a literature review. Keep your comments relevant to your results.
• Interpret your results.
• Be concise and remove unnecessary words.
• Do not include results not presented in the result section.
• Ensure your conclusions are supported by your data.

How to Write the Conclusion of a Research Paper

While writing the conclusion for your research paper, give a summary of your research with emphasis on your findings. Again, structuring the conclusion section of your research paper  will make it easier to draft this section. Here are some tips when writing the conclusion of your paper:

• State what you set out to achieve.
• Tell the reader what your major findings were.
• How has your study contributed to the field?
• Mention any limitations.
• End with recommendations for future research.

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Effectively Citing and Referencing Your Sources

You need to acknowledge the original work  that you talk about in your write-up. There are two reasons for this. First, cite someone’s idea  to avoid plagiarism. Plagiarism is when you use words or ideas of others without acknowledging them and this is a serious offence. Second, readers will be able to source the literature you cited easily.

This is done by citing works  in your text and providing the full reference for this citation in a reference list at the end of your document.

Tips for effective refencing/citations:

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Mathematics > Optimization and Control

Title: randomized submanifold subgradient method for optimization over stiefel manifolds.

Abstract: Optimization over Stiefel manifolds has found wide applications in many scientific and engineering domains. Despite considerable research effort, high-dimensional optimization problems over Stiefel manifolds remain challenging, and the situation is exacerbated by nonsmooth objective functions. The purpose of this paper is to propose and study a novel coordinate-type algorithm for weakly convex (possibly nonsmooth) optimization problems over high-dimensional Stiefel manifolds, named randomized submanifold subgradient method (RSSM). Similar to coordinate-type algorithms in the Euclidean setting, RSSM exhibits low per-iteration cost and is suitable for high-dimensional problems. We prove that RSSM converges to the set of stationary points and attains $\varepsilon$-stationary points with respect to a natural stationarity measure in $\mathcal{O}(\varepsilon^{-4})$ iterations in both expectation and the almost-sure senses. To the best of our knowledge, these are the first convergence guarantees for coordinate-type algorithms to optimize nonconvex nonsmooth functions over Stiefel manifolds. An important technical tool in our convergence analysis is a new Riemannian subgradient inequality for weakly convex functions on proximally smooth matrix manifolds, which could be of independent interest.

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Hamiltonian simulation for hyperbolic partial differential equations by scalable quantum circuits

Yuki sato, ruho kondo, ikko hamamura, tamiya onodera, and naoki yamamoto, phys. rev. research 6 , 033246 – published 4 september 2024.

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• INTRODUCTION
• PRELIMINARIES
• CIRCUIT IMPLEMENTATION METHOD FOR PDEs
• NUMERICAL AND EXPERIMENTAL RESULTS
• CONCLUSIONS
• ACKNOWLEDGMENTS

Solving partial differential equations for extremely large-scale systems within a feasible computation time serves in accelerating engineering developments. Quantum computing algorithms, particularly the Hamiltonian simulations, present a potential and promising approach to achieve this purpose. Actually, there are several oracle-based Hamiltonian simulations with potential quantum speedup, but their detailed implementations and accordingly the detailed computational complexities are all unclear. This paper presents a method that enables us to explicitly implement the quantum circuit for Hamiltonian simulation; the key technique is the explicit gate construction of differential operators contained in the target partial differential equation discretized by the finite difference method. Moreover, we show that the space and time complexities of the constructed circuit are exponentially smaller than those of conventional classical algorithms. We also provide numerical experiments and an experiment on a real device for the wave equation to demonstrate the validity of our proposed method.

• Received 18 March 2024
• Accepted 20 August 2024

DOI: https://doi.org/10.1103/PhysRevResearch.6.033246

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

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Authors & Affiliations

• 1 Toyota Central R&D Labs. , Inc., 1-4-14, Koraku, Bunkyo-ku, Tokyo 112-0004, Japan
• 2 Quantum Computing Center, Keio University , 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan
• 3 IBM Quantum, IBM Research–Tokyo 19-21 Nihonbashi Hakozaki-cho, Chuo-ku, Tokyo 103-8510, Japan
• 4 Department of Applied Physics and Physico-Informatics, Keio University , Hiyoshi 3-14-1, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan
• * Contact author: [email protected]
• † Present Address: NVIDIA G.K., Tokyo 107-0052, Japan.

Article Text

Vol. 6, Iss. 3 — September - November 2024

Subject Areas

• Quantum Physics
• Quantum Information

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Quantum circuit to implement the time evolution operator V , where q j represents the j -th qubit.

Simulation results of the advection equation with periodic BC in one dimension. (a) Solid lines represent the amplitudes of the quantum state | u ( t ) 〉 generated by the proposed circuits. Dashed lines also represent the amplitudes of the quantum state | u ( t ) 〉 , but it was directly computed by applying the matrix exponential operator e − i H t to | u ( 0 ) 〉 via matrix-vector calculation. Dotted lines represent the solutions calculated by the finite difference method (FDM). These three lines are overlapped very well in almost all the spatial region. (b) Absolute errors of the amplitudes of the quantum state | u ( t ) 〉 by the proposed circuits (solid lines) and those applying the matrix exponential operator e − i H t to | u ( 0 ) 〉 via matrix-vector calculation (dashed lines), to the solutions calculated by FDM, respectively.

Simulation results of the advection equation with periodic BC in two dimensions. The color plot represents the values of the scalar field | u ( t ) 〉 calculated by the three approaches.

Simulation results of the wave equation with the mixed BC in one dimension. Solid and dashed lines represent the amplitudes of the quantum state | ψ ( t ) 〉 prepared by the proposed circuits and that obtained by directly applying the matrix exponential operator e − i H τ to | ψ ( 0 ) 〉 , respectively. Dotted lines represent the solutions calculated by the finite difference method (FDM).

Simulation results of the wave equation with the periodic BC in two dimensions. Each plot in the column represents the scalar field ∂ u / ∂ t calculated by each approach.

Experimental results of the wave equation with the mixed BC in one dimension by ibm_kawasaki . Red circle represents the expectation value estimated by 4000 shots along with the error bar representing the 95% confidence interval of the expectation value under the shot noise. Note that error bars are small enough to be visible. Blue + represents the result of statevector_simulator . Black dashed line represents results obtained by the direct multiplication of the matrix exponential operator e − i H τ by | ψ ( 0 ) 〉 .

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GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation

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Academic journals, archives, and repositories are seeing an increasing number of questionable research papers clearly produced using generative AI. They are often created with widely available, general-purpose AI applications, most likely ChatGPT, and mimic scientific writing. Google Scholar easily locates and lists these questionable papers alongside reputable, quality-controlled research. Our analysis of a selection of questionable GPT-fabricated scientific papers found in Google Scholar shows that many are about applied, often controversial topics susceptible to disinformation: the environment, health, and computing. The resulting enhanced potential for malicious manipulation of society’s evidence base, particularly in politically divisive domains, is a growing concern.

Swedish School of Library and Information Science, University of Borås, Sweden

Department of Arts and Cultural Sciences, Lund University, Sweden

Division of Environmental Communication, Swedish University of Agricultural Sciences, Sweden

Research Questions

• Where are questionable publications produced with generative pre-trained transformers (GPTs) that can be found via Google Scholar published or deposited?
• What are the main characteristics of these publications in relation to predominant subject categories?
• How are these publications spread in the research infrastructure for scholarly communication?
• How is the role of the scholarly communication infrastructure challenged in maintaining public trust in science and evidence through inappropriate use of generative AI?

research note Summary

• A sample of scientific papers with signs of GPT-use found on Google Scholar was retrieved, downloaded, and analyzed using a combination of qualitative coding and descriptive statistics. All papers contained at least one of two common phrases returned by conversational agents that use large language models (LLM) like OpenAI’s ChatGPT. Google Search was then used to determine the extent to which copies of questionable, GPT-fabricated papers were available in various repositories, archives, citation databases, and social media platforms.
• Roughly two-thirds of the retrieved papers were found to have been produced, at least in part, through undisclosed, potentially deceptive use of GPT. The majority (57%) of these questionable papers dealt with policy-relevant subjects (i.e., environment, health, computing), susceptible to influence operations. Most were available in several copies on different domains (e.g., social media, archives, and repositories).
• Two main risks arise from the increasingly common use of GPT to (mass-)produce fake, scientific publications. First, the abundance of fabricated “studies” seeping into all areas of the research infrastructure threatens to overwhelm the scholarly communication system and jeopardize the integrity of the scientific record. A second risk lies in the increased possibility that convincingly scientific-looking content was in fact deceitfully created with AI tools and is also optimized to be retrieved by publicly available academic search engines, particularly Google Scholar. However small, this possibility and awareness of it risks undermining the basis for trust in scientific knowledge and poses serious societal risks.

Implications

The use of ChatGPT to generate text for academic papers has raised concerns about research integrity. Discussion of this phenomenon is ongoing in editorials, commentaries, opinion pieces, and on social media (Bom, 2023; Stokel-Walker, 2024; Thorp, 2023). There are now several lists of papers suspected of GPT misuse, and new papers are constantly being added. 1 See for example Academ-AI, https://www.academ-ai.info/ , and Retraction Watch, https://retractionwatch.com/papers-and-peer-reviews-with-evidence-of-chatgpt-writing/ . While many legitimate uses of GPT for research and academic writing exist (Huang & Tan, 2023; Kitamura, 2023; Lund et al., 2023), its undeclared use—beyond proofreading—has potentially far-reaching implications for both science and society, but especially for their relationship. It, therefore, seems important to extend the discussion to one of the most accessible and well-known intermediaries between science, but also certain types of misinformation, and the public, namely Google Scholar, also in response to the legitimate concerns that the discussion of generative AI and misinformation needs to be more nuanced and empirically substantiated  (Simon et al., 2023).

Google Scholar, https://scholar.google.com , is an easy-to-use academic search engine. It is available for free, and its index is extensive (Gusenbauer & Haddaway, 2020). It is also often touted as a credible source for academic literature and even recommended in library guides, by media and information literacy initiatives, and fact checkers (Tripodi et al., 2023). However, Google Scholar lacks the transparency and adherence to standards that usually characterize citation databases. Instead, Google Scholar uses automated crawlers, like Google’s web search engine (Martín-Martín et al., 2021), and the inclusion criteria are based on primarily technical standards, allowing any individual author—with or without scientific affiliation—to upload papers to be indexed (Google Scholar Help, n.d.). It has been shown that Google Scholar is susceptible to manipulation through citation exploits (Antkare, 2020) and by providing access to fake scientific papers (Dadkhah et al., 2017). A large part of Google Scholar’s index consists of publications from established scientific journals or other forms of quality-controlled, scholarly literature. However, the index also contains a large amount of gray literature, including student papers, working papers, reports, preprint servers, and academic networking sites, as well as material from so-called “questionable” academic journals, including paper mills. The search interface does not offer the possibility to filter the results meaningfully by material type, publication status, or form of quality control, such as limiting the search to peer-reviewed material.

To understand the occurrence of ChatGPT (co-)authored work in Google Scholar’s index, we scraped it for publications, including one of two common ChatGPT responses (see Appendix A) that we encountered on social media and in media reports (DeGeurin, 2024). The results of our descriptive statistical analyses showed that around 62% did not declare the use of GPTs. Most of these GPT-fabricated papers were found in non-indexed journals and working papers, but some cases included research published in mainstream scientific journals and conference proceedings. 2 Indexed journals mean scholarly journals indexed by abstract and citation databases such as Scopus and Web of Science, where the indexation implies journals with high scientific quality. Non-indexed journals are journals that fall outside of this indexation. More than half (57%) of these GPT-fabricated papers concerned policy-relevant subject areas susceptible to influence operations. To avoid increasing the visibility of these publications, we abstained from referencing them in this research note. However, we have made the data available in the Harvard Dataverse repository.

The publications were related to three issue areas—health (14.5%), environment (19.5%) and computing (23%)—with key terms such “healthcare,” “COVID-19,” or “infection”for health-related papers, and “analysis,” “sustainable,” and “global” for environment-related papers. In several cases, the papers had titles that strung together general keywords and buzzwords, thus alluding to very broad and current research. These terms included “biology,” “telehealth,” “climate policy,” “diversity,” and “disrupting,” to name just a few.  While the study’s scope and design did not include a detailed analysis of which parts of the articles included fabricated text, our dataset did contain the surrounding sentences for each occurrence of the suspicious phrases that formed the basis for our search and subsequent selection. Based on that, we can say that the phrases occurred in most sections typically found in scientific publications, including the literature review, methods, conceptual and theoretical frameworks, background, motivation or societal relevance, and even discussion. This was confirmed during the joint coding, where we read and discussed all articles. It became clear that not just the text related to the telltale phrases was created by GPT, but that almost all articles in our sample of questionable articles likely contained traces of GPT-fabricated text everywhere.

Evidence hacking and backfiring effects

Generative pre-trained transformers (GPTs) can be used to produce texts that mimic scientific writing. These texts, when made available online—as we demonstrate—leak into the databases of academic search engines and other parts of the research infrastructure for scholarly communication. This development exacerbates problems that were already present with less sophisticated text generators (Antkare, 2020; Cabanac & Labbé, 2021). Yet, the public release of ChatGPT in 2022, together with the way Google Scholar works, has increased the likelihood of lay people (e.g., media, politicians, patients, students) coming across questionable (or even entirely GPT-fabricated) papers and other problematic research findings. Previous research has emphasized that the ability to determine the value and status of scientific publications for lay people is at stake when misleading articles are passed off as reputable (Haider & Åström, 2017) and that systematic literature reviews risk being compromised (Dadkhah et al., 2017). It has also been highlighted that Google Scholar, in particular, can be and has been exploited for manipulating the evidence base for politically charged issues and to fuel conspiracy narratives (Tripodi et al., 2023). Both concerns are likely to be magnified in the future, increasing the risk of what we suggest calling evidence hacking —the strategic and coordinated malicious manipulation of society’s evidence base.

The authority of quality-controlled research as evidence to support legislation, policy, politics, and other forms of decision-making is undermined by the presence of undeclared GPT-fabricated content in publications professing to be scientific. Due to the large number of archives, repositories, mirror sites, and shadow libraries to which they spread, there is a clear risk that GPT-fabricated, questionable papers will reach audiences even after a possible retraction. There are considerable technical difficulties involved in identifying and tracing computer-fabricated papers (Cabanac & Labbé, 2021; Dadkhah et al., 2023; Jones, 2024), not to mention preventing and curbing their spread and uptake.

However, as the rise of the so-called anti-vaxx movement during the COVID-19 pandemic and the ongoing obstruction and denial of climate change show, retracting erroneous publications often fuels conspiracies and increases the following of these movements rather than stopping them. To illustrate this mechanism, climate deniers frequently question established scientific consensus by pointing to other, supposedly scientific, studies that support their claims. Usually, these are poorly executed, not peer-reviewed, based on obsolete data, or even fraudulent (Dunlap & Brulle, 2020). A similar strategy is successful in the alternative epistemic world of the global anti-vaccination movement (Carrion, 2018) and the persistence of flawed and questionable publications in the scientific record already poses significant problems for health research, policy, and lawmakers, and thus for society as a whole (Littell et al., 2024). Considering that a person’s support for “doing your own research” is associated with increased mistrust in scientific institutions (Chinn & Hasell, 2023), it will be of utmost importance to anticipate and consider such backfiring effects already when designing a technical solution, when suggesting industry or legal regulation, and in the planning of educational measures.

Recommendations

Solutions should be based on simultaneous considerations of technical, educational, and regulatory approaches, as well as incentives, including social ones, across the entire research infrastructure. Paying attention to how these approaches and incentives relate to each other can help identify points and mechanisms for disruption. Recognizing fraudulent academic papers must happen alongside understanding how they reach their audiences and what reasons there might be for some of these papers successfully “sticking around.” A possible way to mitigate some of the risks associated with GPT-fabricated scholarly texts finding their way into academic search engine results would be to provide filtering options for facets such as indexed journals, gray literature, peer-review, and similar on the interface of publicly available academic search engines. Furthermore, evaluation tools for indexed journals 3 Such as LiU Journal CheckUp, https://ep.liu.se/JournalCheckup/default.aspx?lang=eng . could be integrated into the graphical user interfaces and the crawlers of these academic search engines. To enable accountability, it is important that the index (database) of such a search engine is populated according to criteria that are transparent, open to scrutiny, and appropriate to the workings of  science and other forms of academic research. Moreover, considering that Google Scholar has no real competitor, there is a strong case for establishing a freely accessible, non-specialized academic search engine that is not run for commercial reasons but for reasons of public interest. Such measures, together with educational initiatives aimed particularly at policymakers, science communicators, journalists, and other media workers, will be crucial to reducing the possibilities for and effects of malicious manipulation or evidence hacking. It is important not to present this as a technical problem that exists only because of AI text generators but to relate it to the wider concerns in which it is embedded. These range from a largely dysfunctional scholarly publishing system (Haider & Åström, 2017) and academia’s “publish or perish” paradigm to Google’s near-monopoly and ideological battles over the control of information and ultimately knowledge. Any intervention is likely to have systemic effects; these effects need to be considered and assessed in advance and, ideally, followed up on.

Our study focused on a selection of papers that were easily recognizable as fraudulent. We used this relatively small sample as a magnifying glass to examine, delineate, and understand a problem that goes beyond the scope of the sample itself, which however points towards larger concerns that require further investigation. The work of ongoing whistleblowing initiatives 4 Such as Academ-AI, https://www.academ-ai.info/ , and Retraction Watch, https://retractionwatch.com/papers-and-peer-reviews-with-evidence-of-chatgpt-writing/ . , recent media reports of journal closures (Subbaraman, 2024), or GPT-related changes in word use and writing style (Cabanac et al., 2021; Stokel-Walker, 2024) suggest that we only see the tip of the iceberg. There are already more sophisticated cases (Dadkhah et al., 2023) as well as cases involving fabricated images (Gu et al., 2022). Our analysis shows that questionable and potentially manipulative GPT-fabricated papers permeate the research infrastructure and are likely to become a widespread phenomenon. Our findings underline that the risk of fake scientific papers being used to maliciously manipulate evidence (see Dadkhah et al., 2017) must be taken seriously. Manipulation may involve undeclared automatic summaries of texts, inclusion in literature reviews, explicit scientific claims, or the concealment of errors in studies so that they are difficult to detect in peer review. However, the mere possibility of these things happening is a significant risk in its own right that can be strategically exploited and will have ramifications for trust in and perception of science. Society’s methods of evaluating sources and the foundations of media and information literacy are under threat and public trust in science is at risk of further erosion, with far-reaching consequences for society in dealing with information disorders. To address this multifaceted problem, we first need to understand why it exists and proliferates.

Finding 1: 139 GPT-fabricated, questionable papers were found and listed as regular results on the Google Scholar results page. Non-indexed journals dominate.

Most questionable papers we found were in non-indexed journals or were working papers, but we did also find some in established journals, publications, conferences, and repositories. We found a total of 139 papers with a suspected deceptive use of ChatGPT or similar LLM applications (see Table 1). Out of these, 19 were in indexed journals, 89 were in non-indexed journals, 19 were student papers found in university databases, and 12 were working papers (mostly in preprint databases). Table 1 divides these papers into categories. Health and environment papers made up around 34% (47) of the sample. Of these, 66% were present in non-indexed journals.

Finding 2: GPT-fabricated, questionable papers are disseminated online, permeating the research infrastructure for scholarly communication, often in multiple copies. Applied topics with practical implications dominate.

The 20 papers concerning health-related issues are distributed across 20 unique domains, accounting for 46 URLs. The 27 papers dealing with environmental issues can be found across 26 unique domains, accounting for 56 URLs.  Most of the identified papers exist in multiple copies and have already spread to several archives, repositories, and social media. It would be difficult, or impossible, to remove them from the scientific record.

As apparent from Table 2, GPT-fabricated, questionable papers are seeping into most parts of the online research infrastructure for scholarly communication. Platforms on which identified papers have appeared include ResearchGate, ORCiD, Journal of Population Therapeutics and Clinical Pharmacology (JPTCP), Easychair, Frontiers, the Institute of Electrical and Electronics Engineer (IEEE), and X/Twitter. Thus, even if they are retracted from their original source, it will prove very difficult to track, remove, or even just mark them up on other platforms. Moreover, unless regulated, Google Scholar will enable their continued and most likely unlabeled discoverability.

A word rain visualization (Centre for Digital Humanities Uppsala, 2023), which combines word prominences through TF-IDF 5 Term frequency–inverse document frequency , a method for measuring the significance of a word in a document compared to its frequency across all documents in a collection. scores with semantic similarity of the full texts of our sample of GPT-generated articles that fall into the “Environment” and “Health” categories, reflects the two categories in question. However, as can be seen in Figure 1, it also reveals overlap and sub-areas. The y-axis shows word prominences through word positions and font sizes, while the x-axis indicates semantic similarity. In addition to a certain amount of overlap, this reveals sub-areas, which are best described as two distinct events within the word rain. The event on the left bundles terms related to the development and management of health and healthcare with “challenges,” “impact,” and “potential of artificial intelligence”emerging as semantically related terms. Terms related to research infrastructures, environmental, epistemic, and technological concepts are arranged further down in the same event (e.g., “system,” “climate,” “understanding,” “knowledge,” “learning,” “education,” “sustainable”). A second distinct event further to the right bundles terms associated with fish farming and aquatic medicinal plants, highlighting the presence of an aquaculture cluster.  Here, the prominence of groups of terms such as “used,” “model,” “-based,” and “traditional” suggests the presence of applied research on these topics. The two events making up the word rain visualization, are linked by a less dominant but overlapping cluster of terms related to “energy” and “water.”

The bar chart of the terms in the paper subset (see Figure 2) complements the word rain visualization by depicting the most prominent terms in the full texts along the y-axis. Here, word prominences across health and environment papers are arranged descendingly, where values outside parentheses are TF-IDF values (relative frequencies) and values inside parentheses are raw term frequencies (absolute frequencies).

Finding 3: Google Scholar presents results from quality-controlled and non-controlled citation databases on the same interface, providing unfiltered access to GPT-fabricated questionable papers.

Google Scholar’s central position in the publicly accessible scholarly communication infrastructure, as well as its lack of standards, transparency, and accountability in terms of inclusion criteria, has potentially serious implications for public trust in science. This is likely to exacerbate the already-known potential to exploit Google Scholar for evidence hacking (Tripodi et al., 2023) and will have implications for any attempts to retract or remove fraudulent papers from their original publication venues. Any solution must consider the entirety of the research infrastructure for scholarly communication and the interplay of different actors, interests, and incentives.

We searched and scraped Google Scholar using the Python library Scholarly (Cholewiak et al., 2023) for papers that included specific phrases known to be common responses from ChatGPT and similar applications with the same underlying model (GPT3.5 or GPT4): “as of my last knowledge update” and/or “I don’t have access to real-time data” (see Appendix A). This facilitated the identification of papers that likely used generative AI to produce text, resulting in 227 retrieved papers. The papers’ bibliographic information was automatically added to a spreadsheet and downloaded into Zotero. 6 An open-source reference manager, https://zotero.org .

We employed multiple coding (Barbour, 2001) to classify the papers based on their content. First, we jointly assessed whether the paper was suspected of fraudulent use of ChatGPT (or similar) based on how the text was integrated into the papers and whether the paper was presented as original research output or the AI tool’s role was acknowledged. Second, in analyzing the content of the papers, we continued the multiple coding by classifying the fraudulent papers into four categories identified during an initial round of analysis—health, environment, computing, and others—and then determining which subjects were most affected by this issue (see Table 1). Out of the 227 retrieved papers, 88 papers were written with legitimate and/or declared use of GPTs (i.e., false positives, which were excluded from further analysis), and 139 papers were written with undeclared and/or fraudulent use (i.e., true positives, which were included in further analysis). The multiple coding was conducted jointly by all authors of the present article, who collaboratively coded and cross-checked each other’s interpretation of the data simultaneously in a shared spreadsheet file. This was done to single out coding discrepancies and settle coding disagreements, which in turn ensured methodological thoroughness and analytical consensus (see Barbour, 2001). Redoing the category coding later based on our established coding schedule, we achieved an intercoder reliability (Cohen’s kappa) of 0.806 after eradicating obvious differences.

The ranking algorithm of Google Scholar prioritizes highly cited and older publications (Martín-Martín et al., 2016). Therefore, the position of the articles on the search engine results pages was not particularly informative, considering the relatively small number of results in combination with the recency of the publications. Only the query “as of my last knowledge update” had more than two search engine result pages. On those, questionable articles with undeclared use of GPTs were evenly distributed across all result pages (min: 4, max: 9, mode: 8), with the proportion of undeclared use being slightly higher on average on later search result pages.

To understand how the papers making fraudulent use of generative AI were disseminated online, we programmatically searched for the paper titles (with exact string matching) in Google Search from our local IP address (see Appendix B) using the googlesearch – python library(Vikramaditya, 2020). We manually verified each search result to filter out false positives—results that were not related to the paper—and then compiled the most prominent URLs by field. This enabled the identification of other platforms through which the papers had been spread. We did not, however, investigate whether copies had spread into SciHub or other shadow libraries, or if they were referenced in Wikipedia.

We used descriptive statistics to count the prevalence of the number of GPT-fabricated papers across topics and venues and top domains by subject. The pandas software library for the Python programming language (The pandas development team, 2024) was used for this part of the analysis. Based on the multiple coding, paper occurrences were counted in relation to their categories, divided into indexed journals, non-indexed journals, student papers, and working papers. The schemes, subdomains, and subdirectories of the URL strings were filtered out while top-level domains and second-level domains were kept, which led to normalizing domain names. This, in turn, allowed the counting of domain frequencies in the environment and health categories. To distinguish word prominences and meanings in the environment and health-related GPT-fabricated questionable papers, a semantically-aware word cloud visualization was produced through the use of a word rain (Centre for Digital Humanities Uppsala, 2023) for full-text versions of the papers. Font size and y-axis positions indicate word prominences through TF-IDF scores for the environment and health papers (also visualized in a separate bar chart with raw term frequencies in parentheses), and words are positioned along the x-axis to reflect semantic similarity (Skeppstedt et al., 2024), with an English Word2vec skip gram model space (Fares et al., 2017). An English stop word list was used, along with a manually produced list including terms such as “https,” “volume,” or “years.”

• Artificial Intelligence
• / Search engines

Cite this Essay

Haider, J., Söderström, K. R., Ekström, B., & Rödl, M. (2024). GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation. Harvard Kennedy School (HKS) Misinformation Review . https://doi.org/10.37016/mr-2020-156

• / Appendix B

Bibliography

Antkare, I. (2020). Ike Antkare, his publications, and those of his disciples. In M. Biagioli & A. Lippman (Eds.), Gaming the metrics (pp. 177–200). The MIT Press. https://doi.org/10.7551/mitpress/11087.003.0018

Barbour, R. S. (2001). Checklists for improving rigour in qualitative research: A case of the tail wagging the dog? BMJ , 322 (7294), 1115–1117. https://doi.org/10.1136/bmj.322.7294.1115

Bom, H.-S. H. (2023). Exploring the opportunities and challenges of ChatGPT in academic writing: A roundtable discussion. Nuclear Medicine and Molecular Imaging , 57 (4), 165–167. https://doi.org/10.1007/s13139-023-00809-2

Cabanac, G., & Labbé, C. (2021). Prevalence of nonsensical algorithmically generated papers in the scientific literature. Journal of the Association for Information Science and Technology , 72 (12), 1461–1476. https://doi.org/10.1002/asi.24495

Cabanac, G., Labbé, C., & Magazinov, A. (2021). Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals . arXiv. https://doi.org/10.48550/arXiv.2107.06751

Carrion, M. L. (2018). “You need to do your research”: Vaccines, contestable science, and maternal epistemology. Public Understanding of Science , 27 (3), 310–324. https://doi.org/10.1177/0963662517728024

Centre for Digital Humanities Uppsala (2023). CDHUppsala/word-rain [Computer software]. https://github.com/CDHUppsala/word-rain

Chinn, S., & Hasell, A. (2023). Support for “doing your own research” is associated with COVID-19 misperceptions and scientific mistrust. Harvard Kennedy School (HSK) Misinformation Review, 4 (3). https://doi.org/10.37016/mr-2020-117

Cholewiak, S. A., Ipeirotis, P., Silva, V., & Kannawadi, A. (2023). SCHOLARLY: Simple access to Google Scholar authors and citation using Python (1.5.0) [Computer software]. https://doi.org/10.5281/zenodo.5764801

Dadkhah, M., Lagzian, M., & Borchardt, G. (2017). Questionable papers in citation databases as an issue for literature review. Journal of Cell Communication and Signaling , 11 (2), 181–185. https://doi.org/10.1007/s12079-016-0370-6

Dadkhah, M., Oermann, M. H., Hegedüs, M., Raman, R., & Dávid, L. D. (2023). Detection of fake papers in the era of artificial intelligence. Diagnosis , 10 (4), 390–397. https://doi.org/10.1515/dx-2023-0090

DeGeurin, M. (2024, March 19). AI-generated nonsense is leaking into scientific journals. Popular Science. https://www.popsci.com/technology/ai-generated-text-scientific-journals/

Dunlap, R. E., & Brulle, R. J. (2020). Sources and amplifiers of climate change denial. In D.C. Holmes & L. M. Richardson (Eds.), Research handbook on communicating climate change (pp. 49–61). Edward Elgar Publishing. https://doi.org/10.4337/9781789900408.00013

Fares, M., Kutuzov, A., Oepen, S., & Velldal, E. (2017). Word vectors, reuse, and replicability: Towards a community repository of large-text resources. In J. Tiedemann & N. Tahmasebi (Eds.), Proceedings of the 21st Nordic Conference on Computational Linguistics (pp. 271–276). Association for Computational Linguistics. https://aclanthology.org/W17-0237

Google Scholar Help. (n.d.). Inclusion guidelines for webmasters . https://scholar.google.com/intl/en/scholar/inclusion.html

Gu, J., Wang, X., Li, C., Zhao, J., Fu, W., Liang, G., & Qiu, J. (2022). AI-enabled image fraud in scientific publications. Patterns , 3 (7), 100511. https://doi.org/10.1016/j.patter.2022.100511

Gusenbauer, M., & Haddaway, N. R. (2020). Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Research Synthesis Methods , 11 (2), 181–217.   https://doi.org/10.1002/jrsm.1378

Haider, J., & Åström, F. (2017). Dimensions of trust in scholarly communication: Problematizing peer review in the aftermath of John Bohannon’s “Sting” in science. Journal of the Association for Information Science and Technology , 68 (2), 450–467. https://doi.org/10.1002/asi.23669

Huang, J., & Tan, M. (2023). The role of ChatGPT in scientific communication: Writing better scientific review articles. American Journal of Cancer Research , 13 (4), 1148–1154. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164801/

Jones, N. (2024). How journals are fighting back against a wave of questionable images. Nature , 626 (8000), 697–698. https://doi.org/10.1038/d41586-024-00372-6

Kitamura, F. C. (2023). ChatGPT is shaping the future of medical writing but still requires human judgment. Radiology , 307 (2), e230171. https://doi.org/10.1148/radiol.230171

Littell, J. H., Abel, K. M., Biggs, M. A., Blum, R. W., Foster, D. G., Haddad, L. B., Major, B., Munk-Olsen, T., Polis, C. B., Robinson, G. E., Rocca, C. H., Russo, N. F., Steinberg, J. R., Stewart, D. E., Stotland, N. L., Upadhyay, U. D., & Ditzhuijzen, J. van. (2024). Correcting the scientific record on abortion and mental health outcomes. BMJ , 384 , e076518. https://doi.org/10.1136/bmj-2023-076518

Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., & Wang, Z. (2023). ChatGPT and a new academic reality: Artificial Intelligence-written research papers and the ethics of the large language models in scholarly publishing. Journal of the Association for Information Science and Technology, 74 (5), 570–581. https://doi.org/10.1002/asi.24750

Martín-Martín, A., Orduna-Malea, E., Ayllón, J. M., & Delgado López-Cózar, E. (2016). Back to the past: On the shoulders of an academic search engine giant. Scientometrics , 107 , 1477–1487. https://doi.org/10.1007/s11192-016-1917-2

Martín-Martín, A., Thelwall, M., Orduna-Malea, E., & Delgado López-Cózar, E. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: A multidisciplinary comparison of coverage via citations. Scientometrics , 126 (1), 871–906. https://doi.org/10.1007/s11192-020-03690-4

Simon, F. M., Altay, S., & Mercier, H. (2023). Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown. Harvard Kennedy School (HKS) Misinformation Review, 4 (5). https://doi.org/10.37016/mr-2020-127

Skeppstedt, M., Ahltorp, M., Kucher, K., & Lindström, M. (2024). From word clouds to Word Rain: Revisiting the classic word cloud to visualize climate change texts. Information Visualization , 23 (3), 217–238. https://doi.org/10.1177/14738716241236188

Swedish Research Council. (2017). Good research practice. Vetenskapsrådet.

Stokel-Walker, C. (2024, May 1.). AI Chatbots Have Thoroughly Infiltrated Scientific Publishing . Scientific American. https://www.scientificamerican.com/article/chatbots-have-thoroughly-infiltrated-scientific-publishing/

Subbaraman, N. (2024, May 14). Flood of fake science forces multiple journal closures: Wiley to shutter 19 more journals, some tainted by fraud. The Wall Street Journal . https://www.wsj.com/science/academic-studies-research-paper-mills-journals-publishing-f5a3d4bc

The pandas development team. (2024). pandas-dev/pandas: Pandas (v2.2.2) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.10957263

Thorp, H. H. (2023). ChatGPT is fun, but not an author. Science , 379 (6630), 313–313. https://doi.org/10.1126/science.adg7879

Tripodi, F. B., Garcia, L. C., & Marwick, A. E. (2023). ‘Do your own research’: Affordance activation and disinformation spread. Information, Communication & Society , 27 (6), 1212–1228. https://doi.org/10.1080/1369118X.2023.2245869

Vikramaditya, N. (2020). Nv7-GitHub/googlesearch [Computer software]. https://github.com/Nv7-GitHub/googlesearch

This research has been supported by Mistra, the Swedish Foundation for Strategic Environmental Research, through the research program Mistra Environmental Communication (Haider, Ekström, Rödl) and the Marcus and Amalia Wallenberg Foundation [2020.0004] (Söderström).

Competing Interests

The authors declare no competing interests.

The research described in this article was carried out under Swedish legislation. According to the relevant EU and Swedish legislation (2003:460) on the ethical review of research involving humans (“Ethical Review Act”), the research reported on here is not subject to authorization by the Swedish Ethical Review Authority (“etikprövningsmyndigheten”) (SRC, 2017).

This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided that the original author and source are properly credited.

Data Availability

All data needed to replicate this study are available at the Harvard Dataverse: https://doi.org/10.7910/DVN/WUVD8X

Acknowledgements

The authors wish to thank two anonymous reviewers for their valuable comments on the article manuscript as well as the editorial group of Harvard Kennedy School (HKS) Misinformation Review for their thoughtful feedback and input.

Machine Learning-Facilitated Policy Intensity Analysis: A Proposed Procedure and Its Application

• Original Research
• Published: 03 September 2024

Cite this article

• Su Xie 1 , 2 ,
• Hang Xiong   ORCID: orcid.org/0000-0002-4949-2777 1 , 2 ,
• Linmei Shang 3 &
• Yong Bao 4  

Policy intensity is a crucial determinant of policy effectiveness. Analysis of policy intensity can serve as a basis for policy impact evaluation and enable policymakers to make necessary adjustments. Previous studies relied on manual scoring and mainly addressed specialized policies with limited numbers of texts. However, when dealing with text-rich policies, the method inevitably introduced bias and was time-consuming. In this paper, we propose a procedure facilitated by machine learning to analyze the intensity of not only specified but also comprehensive policies with large amounts of texts. Our machine learning-based approach assigns scores to the policy measure dimension, then cross-multiplies with two other dimensions, policy title and document type, to calculate intensity. The efficacy of our approach was demonstrated through a case study of China’s environmental policies for livestock and poultry husbandry, which showed improved performance over traditional methods in terms of efficiency and objectivity.

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Stop words refer to the words that have no clear meaning in themselves and only have a certain effect when they are put into a complete sentence, often including modal particles, adverbs, prepositions, conjunction (In English, examples of stop words include “of”, “in”, “and”, “should”, “obviously”. In Chinese, stop words such as “的”, “在于”, “和”, “你们”, “特别”.).

The ratio of training set and testing set is not fixed. It varies depending on the specific circumstances. Here, we use the two commonly used ratios: 7:3 and 8:2 (Hastie et al., 2009 ).

Inconsistency includes: different scores within the same label category, and different label categories (for example, it belongs to B, but it is judged as D).

The “National Pig Production Development Plan (2016–2020)” is an integral part of the “13th Five-Year Plan” for the development of the pig industry.

Alshamsan, A. R., & Chaudhry, S. A. (2022). Machine learning algorithms for privacy policy classification: A comparative study. In 2022 2nd IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI) (pp. 214–219). IEEE. https://doi.org/10.1109/SEAI55746.2022.9832027

Aizawa, A. (2003). An information-theoretic perspective of tf–idf measures. Information Processing & Management , 39 (1), 45–65. https://doi.org/10.1016/S0306-4573(02)00021-3

Article   Google Scholar  

Azam, N., & Yao, J. (2012). Comparison of term frequency and document frequency based feature selection metrics in text categorization. Expert Systems with Applications, 39 (5), 4760–4768. https://doi.org/10.1016/j.eswa.2011.09.160

Ballı, S., & Karasoy, O. (2019). Development of content-based SMS classification application by using Word2Vec-based feature extraction. IET Software, 13 (4), 295–304. https://doi.org/10.1049/iet-sen.2018.5046

Biesbroek, R., Badloe, S., & Athanasiadis, I. N. (2020). Machine learning for research on climate change adaptation policy integration: An exploratory UK case study. Regional Environmental Change, 20 (3), 85. https://doi.org/10.1007/s10113-020-01677-8

Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992). A training algorithm for optimal margin classifiers. In Proceedings of the Fifth Annual Workshop on Computational Learning Theory (pp.144–152). Association for Computing Machinery. https://doi.org/10.1145/130385.130401

Breiman, L. (2001). Random forests. Machine Learning, 45 (1), 5–32. https://doi.org/10.1023/A:1010933404324

Cao, W., Yang, Y., Jiang, X., & Li, E. (2020). The policy responses to the Belt and Road Initiative in fiveprovinces (districts) of Northwest China based on industry perspective. World Geography Research, 29 (02), 346–357. https://doi.org/10.3969/j.issn.1004-9479.2020.02.2018503

Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. (2002). SMOTE: Synthetic minority over-sampling technique. Journal of Artificial Intelligence Research, 16 , 321–357. https://doi.org/10.1613/jair.953

Chen, S., Gu, J., & He, Z. (2021). Research on the relationship between the policy strength of “the Belt and Road” related documents and the provincial economic openness: An empirical analysis of 18 provinces along “the Belt and Road.” Journal of Chongqing University (social Science Edition), 27 (02), 23–43.

Google Scholar  

Djaballah, K. A., Boukhalfa, K., & Boussaid, O. (2019). Sentiment analysis of Twitter messages using Word2vec by weighted average. In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS) (pp.223–228). IEEE. https://doi.org/10.1109/SNAMS.2019.8931827

Duan, K B., & Keerthi, S. S. (2005). Which is the best multiclass SVM method? An empirical study. In International workshop on multiple classifier systems (pp. 278–285). Springer. https://doi.org/10.1007/11494683_28

Elizalde-San Miguel, B., Díaz Gandasegui, V., & Sanz García, M. T. (2019). Family Policy Index: A tool for policy makers to increase the effectiveness of family policies. Social Indicators Research, 142 (1), 387–409. https://doi.org/10.1007/s11205-018-1920-5

Fengxia, Yongli, W., Huanhuan, Y., Xiaoze, G., & Shurong, S. (2018). QH-K algorithm for news text topic extraction. In 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) (pp. 610–614). IEEE., https://doi.org/10.1109/CCIS.2018.8691330

Friedman, J. H. (2001). Greedy function approximation: A gradient boosting machine. The Annals of Statistics, 29 (5), 1189–1232. https://doi.org/10.1214/aos/1013203451

Friedman, J., Hastie, T., & Tibshirani, R. (2010). Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33 (1), 1–22. https://doi.org/10.18637/jss.v033.i01

Ganguly, D., Roy, D., Mitra, M., & Jones, G. J. F. (2015). Word embedding based generalized language model for information retrieval. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 795–798). Association for Computing Machinery. https://doi.org/10.1145/2766462.2767780

Gao, Y., Li, Y. Y., & Wang, Y. (2021). Modular policy evaluation system: A policy evaluation framework based on text mining. In 2021 IEEE 6th International Conference on Big Data Analytics (ICBDA) (pp. 204–209). IEEE. https://doi.org/10.1109/ICBDA51983.2021.9403142

Garcés Ferrer, J., Ródenas Rigla, F., & Vidal Figueroa, C. (2016). Application of Social Policy Index (SPI) amended in three OECD countries: Finland, Spain and Mexico. Social Indicators Research, 127 (2), 529–539. https://doi.org/10.1007/s11205-015-0988-4

Guo, B., Li, J., & Zhang, X. (2018). The impact of Policy Coordination on Policy effectiveness–an empirical study based on 227 policies of China’s photovoltaic industry. Science of Science Research, 36 (05), 790–799.

Hand, D. J., & Yu, K. (2001). Idiot’s Bayes? Not so stupid after all? International Statistical Review, 69 (3), 385–398. https://doi.org/10.1111/j.1751-5823.2001.tb00465.x

Hastie, T., Tibshirani, R., Friedman, J. H., & Friedman, J. H. (2009). The elements of statistical learning: Data mining, inference, and prediction . Springer.

Book   Google Scholar  

Hu, H., Cao, H., Zhang, L., Ma, Y., & Wu, S. (2020). Effects of heterogeneous environmental regulation on the control of water pollution discharge. Desalination and Water Treatment, 205 , 208–213. https://doi.org/10.5004/dwt.2020.26349

Huang, C., Su, J., Xie, X., Ye, X., Li, Z., Porter, A., & Li, J. (2015). A bibliometric study of China’s science and technology policies: 1949–2010. Scientometrics, 102 (2), 1521–1539. https://doi.org/10.1007/s11192-014-1406-4

Kong, Y., Feng, C., & Yang, J. (2020). How does China manage its energy market? A perspective of policy evolution. Energy Policy, 147 , 111898. https://doi.org/10.1016/j.enpol.2020.111898

Kuang, B., Han, J., Lu, X., Zhang, X., & Fan, X. (2020). Quantitative evaluation of China’s cultivated land protection policies based on the PMC-Index model. Land Use Policy, 99 , 105062. https://doi.org/10.1016/j.landusepol.2020.105062

Li, S., Zhao, Z., Hu, R., Li, W., Liu, T., & Du, X. (2018). Analogical reasoning on chinese morphological and semantic relations. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL) , (pp.138–143). https://doi.org/10.18653/v1/P18-2023

Li, H., Wei, X., & Gao, X. (2021a). Objectives setting and instruments selection of circular economy policy in China’s mining industry: A textual analysis. Resources Policy, 74 , 102410. https://doi.org/10.1016/j.resourpol.2021.102410

Li, Y., He, R., Liu, J., Li, C., & Xiong, J. (2021b). Quantitative evaluation of China’s pork industry policy: A PMC index model approach. Agriculture, 11 (2), 86. https://doi.org/10.3390/agriculture11020086

Libecap, G. D. (1978). Economic variables and the development of the law: The case of western mineral rights. The Journal of Economic History, 38 (2), 338–362. https://doi.org/10.1017/S0022050700105121

Liu, Y., Zhang, J., & Ge, Z. (2020). Construction and application of knowledge graph of government policy based on deep neural network. In 2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) (pp.709–716). IEEE. https://doi.org/10.1109/ISCTT51595.2020.00135

Long, R., Cui, W., & Li, Q. (2017). The evolution and effect evaluation of photovoltaic industry policy in China. Sustainability, 9 (12), 2147. https://doi.org/10.3390/su9122147

Lucca, D. O., & Trebbi, F. (2011). Measuring Central Bank Communication: An Automated Approach with Application to FOMC Statements (No. 15367) . National Bureau of Economic Research. https://doi.org/10.2139/ssrn.1470443

Ma, J., & Zhu, H. (2018). Rumor diffusion in heterogeneous networks by considering the individuals’ subjective judgment and diverse characteristics. Physica a: Statistical Mechanics and Its Applications, 499 , 276–287. https://doi.org/10.1016/j.physa.2018.02.037

Ma, L., & Zhang, Y. (2015). Using Word2Vec to process big text data. In 2015 IEEE International Conference on Big Data (Big Data) (pp. 2895–2897). IEEE. https://doi.org/10.1109/BigData.2015.7364114

Ma, S., Guo, J., & Zhang, H. (2019). Policy analysis and development evaluation of digital trade: An international comparison. China & World Economy, 27 (3), 49–75. https://doi.org/10.1111/cwe.12280

Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013). Distributed representations of words and phrases and their compositionality. Advances in Neural Information Processing Systems, 26 , 1–9.

Monsivais, P., Francis, O., Lovelace, R., Chang, M., Strachan, E., & Burgoine, T. (2018). Data visualisation to support obesity policy: Case studies of data tools for planning and transport policy in the UK. International Journal of Obesity, 42 (12), 1977–1986. https://doi.org/10.1038/s41366-018-0243-6

Moody, C. E. (2016). Mixing dirichlet topic models and word embeddings to make lda2vec. https://doi.org/10.48550/arXiv.1605.02019

Moparthi, N. R., Balakrishna, G., Chithaluru, P., Kolla, M., & Kumar, M. (2023). An improved energy-efficient cloud-optimized load-balancing for IoT frameworks. Heliyon, 9 (11), e21947. https://doi.org/10.1016/j.heliyon.2023.e21947

Narksenee, M., & Sripanidkulchai, K. (2019). Can we trust privacy policy: Privacy policy classification using machine learning. In 2019 2nd International Conference of Intelligent Robotic and Control Engineering (IRCE) (pp. 133–137). IEEE. https://doi.org/10.1109/IRCE.2019.00034

Rothwell, R. (1985). Reindustrialization and technology: Towards a national policy framework. Science and Public Policy, 12 (3), 113–130. https://doi.org/10.1093/spp/12.3.113

Ruiz, E., & Mario, A. (2011). Policy modeling: Definition, classification and evaluation. Journal of Policy Modeling, 33 (4), 523–536. https://doi.org/10.1016/j.jpolmod.2011.02.003

Sáez, J. A., Luengo, J., Stefanowski, J., & Herrera, F. (2015). SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering. Information Sciences, 291 , 184–203. https://doi.org/10.1016/j.ins.2014.08.051

Salton, G., Wong, A., & Yang, C. S. (1975). A vector space model for automatic indexing. Communications of the ACM, 18 (11), 613–620. https://doi.org/10.1145/361219.361220

Saraswat, S., Singh, P., Kumar, M., & Agarwal, J. (2024). Advanced detection of fungi-bacterial diseases in plants using modified deep neural network and DSURF. Multimedia Tools and Applications, 83 (6), 16711–16733. https://doi.org/10.1007/s11042-023-16281-1

Shamout, S., Boarin, P., & Wilkinson, S. (2021). The shift from sustainability to resilience as a driver for policy change: A policy analysis for more resilient and sustainable cities in Jordan. Sustainable Production and Consumption, 25 , 285–298. https://doi.org/10.1016/j.spc.2020.08.015

Shim, J., Park, C., & Wilding, M. (2015). Identifying policy frames through semantic network analysis: An examination of nuclear energy policy across six countries. Policy Sciences, 48 (1), 51–83. https://doi.org/10.1007/s11077-015-9211-3

Solomon, D. D., Sonia, Kumar, K., Kanwar, K., Iyer, S., & Kumar, M. (2023). Extensive review on the role of machine learning for multifactorial genetic disorders prediction. Archives of Computational Methods in Engineering, 31 (2), 623–640. https://doi.org/10.1007/s11831-023-09996-9

Venkatesh, B., Suresh, Y., Chinna Babu, J., Guru Mohan, N., Madana Kumar Reddy, C., & Kumar, M. (2023). Design and implementation of a wireless communication-based sprinkler irrigation system with seed sowing functionality. SN Applied Sciences, 5 (12), 379. https://doi.org/10.1007/s42452-023-05556-9

Weiss, S. M., & Kulikowski, C. A. (1991). Computer systems that learn: Classification and prediction methods from statistics, neural nets, machine learning, and expert systems . Morgan Kaufmann Publishers Inc.

Xu, M., Gan, D., Pan, T., & Sun, X. (2021). Trends and characteristics of China’s medical informatization policy from 1996 to 2020: A bibliometric analysis. Aslib Journal of Information Management, 73 (5), 720–753. https://doi.org/10.1108/AJIM-04-2021-0112

Zhang, G., Deng, N., Mou, H., Zhang, Z. G., & Chen, X. (2019). The impact of the policy and behavior of public participation on environmental governance performance: Empirical analysis based on provincial panel data in China. Energy Policy, 129 , 1347–1354. https://doi.org/10.1016/j.enpol.2019.03.030

Zhang, G., Gao, X., Wang, Y., Guo, J., & Wang, S. (2014). Measurement, coordination and evolution of China’s energy conservation and emission reduction policies. China Population Resources and Environment, 24 (12), 62–73. https://doi.org/10.3969/j.issn.1002.2104.2014.12.009

Zhang, G., Gao, Y., Li, J., Su, B., Chen, Z., & Lin, W. (2022). China’s environmental policy intensity for 1978–2019. Scientific Data, 9 (1), 1–10. https://doi.org/10.1038/s41597-022-01183-y

Zhang, Y., & Yan, J. (2016). Research on the impact of technological innovation policy on enterprise innovation performance—based on policy text analysis. Science and Technology Progress and Policy, 33 (01), 108–113. https://doi.org/10.6049/kjjbydc.2015040301

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Funding was provided by National Natural Science Foundation of China (Grant Number: 72173050).

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College of Economics and Management, Huazhong Agricultural University, Wuhan, China

Su Xie & Hang Xiong

Digital Agriculture Research Institute, Huazhong Agricultural University, Wuhan, China

Institute for Food and Resource Economics, University of Bonn, Bonn, Germany

Linmei Shang

Department of Economics, Purdue University, West Lafayette, IN, USA

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Xie, S., Xiong, H., Shang, L. et al. Machine Learning-Facilitated Policy Intensity Analysis: A Proposed Procedure and Its Application. Soc Indic Res (2024). https://doi.org/10.1007/s11205-024-03416-6

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Accepted : 12 August 2024

Published : 03 September 2024

DOI : https://doi.org/10.1007/s11205-024-03416-6

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