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Publication Counts in Context: Normalization Using Query and Reference Terms in PubMed

Publication Counts in Context: Normalization Using Query and Reference Terms in PubMed

Publication counts on Pub Med can be visualized through simple plots that display the number of publications over time, providing an easy way to track trends and patterns in scientific output. Publication counts over time are often used in science communication, research applications, original articles, or reviews to illustrate trends in scientific activity in a particular field [1-4]. A search on Pub Med readily generates corresponding publication counts from year to year (Figure 1).

Julian Varghese, Lucas Bickmann, Timo Strünker, Nina Neuhaus, Frank Tüttelmann, Sarah Sandmann

J Med Internet Res 2025;27:e60616

Geographical Disparities in Research Misconduct: Analyzing Retraction Patterns by Country

Geographical Disparities in Research Misconduct: Analyzing Retraction Patterns by Country

Data from 2013 to 2015 show that retraction rates vary by country due to differences in research culture, regulations, and publication pressures [3]. Understanding these variations is vital to identifying systemic issues in research integrity. We examined the countries with the highest numbers of retractions due to misconduct, analyzing both absolute counts and proportions relative to population size and publication output.

Paul Sebo, Melissa Sebo

J Med Internet Res 2025;27:e65775

Authors’ Reply: Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis

Authors’ Reply: Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis

We appreciate Wang and Zhou’s [1] keen interest in our publication [2]. Below are our responses to their comments. First, Wang and Zhou [1] argued potential biases could arise from the 8 experts’ personal preferences, academic or cultural backgrounds, or their familiarity with the subject matter. However, the 30 papers we selected were from 3 different journals and explored various topics (as outlined in Table S3 in Multimedia Appendix 1 of our paper [2]).

Tien-Wei Hsu, Chih-Sung Liang

J Med Internet Res 2024;26:e65123

Application of AI in Sepsis: Citation Network Analysis and Evidence Synthesis

Application of AI in Sepsis: Citation Network Analysis and Evidence Synthesis

The annual publication count, annual growth, and average growth rate of publications were determined through the following methods: Where N is the total number of articles in the current year, and Nk–1 is the total number of articles in the previous year. Furthermore, we conducted an analysis of publication trends based on the following criteria: the top 10 most prolific countries, institutions, journals, authors, and studies in this area.

MeiJung Wu, Md Mohaimenul Islam, Tahmina Nasrin Poly, Ming-Chin Lin

Interact J Med Res 2024;13:e54490

Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study

Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study

Although the use of Chat GPT as a research assistant for scientific paper composition and publication has gained significant attention, several concerns have emerged. First, AI models trained on vast amounts of text data may inadvertently generate content that closely resembles existing scientific work, leading to instances of plagiarism [1]. Second, AI models can generate seemingly plausible content that lacks accuracy or may unintentionally introduce errors.

Shu-Li Cheng, Shih-Jen Tsai, Ya-Mei Bai, Chih-Hung Ko, Chih-Wei Hsu, Fu-Chi Yang, Chia-Kuang Tsai, Yu-Kang Tu, Szu-Nian Yang, Ping-Tao Tseng, Tien-Wei Hsu, Chih-Sung Liang, Kuan-Pin Su

J Med Internet Res 2023;25:e51229

Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review

Comparison of Reporting and Transparency in Published Protocols and Publications in Umbrella Reviews: Scoping Review

The primary aim of this study was to investigate inconsistencies between a protocol and its publication when developing an UR. The secondary aim was to assess the transparency of the URs when generating evidence.

Liang Zhao, Caiyi Shen, Ming Liu, Jiaoyan Zhang, Luying Cheng, Yuanyuan Li, Lanbin Yuan, Junhua Zhang, Jinhui Tian

J Med Internet Res 2023;25:e43299

Retractions in Dermatology Literature Between 1982 and 2022: Cross-sectional Study

Retractions in Dermatology Literature Between 1982 and 2022: Cross-sectional Study

Information regarding article type, country of authors, reasons for retraction, publication year, and the number of months between publication and retraction for each paper were collected, and linear regression was performed to assess trends of retractions over time. Between 1982 and 2022, there were a total of 178 retracted articles in the field of dermatology. The most common article types were “Research Article” (n=91), “Review Article” (n=31), “Clinical Study” (n=25), and “Case Report” (n=21).

Austin Huang, Kevin Y Huang, Soo Jung Kim

JMIR Dermatol 2023;6:e39021

An Analysis of PubMed Abstracts From 1946 to 2021 to Identify Organizational Affiliations in Epidemiological Criminology: Descriptive Study

An Analysis of PubMed Abstracts From 1946 to 2021 to Identify Organizational Affiliations in Epidemiological Criminology: Descriptive Study

However, it is unclear which actors (eg, countries, sectors, and agencies) contribute to this field in terms of peer-reviewed publication outputs. The aim of this study was to determine the countries and organizations responsible for leading the research in the field of epidemiological criminology.

George Karystianis, Wilson Lukmanjaya, Paul Simpson, Peter Schofield, Natasha Ginnivan, Goran Nenadic, Marina van Leeuwen, Iain Buchan, Tony Butler

Interact J Med Res 2022;11(2):e42891