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

scientometricsScientometrics, Infometrics, and Altmetrics

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

J Med Internet Res 2025;27:e60616

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Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis

In addition, it is supported by a methodology that can integrate different tools and disciplines (in this case, scientometrics) to measure the progress of scientific publications considering indexing elements such as authors, affiliations, countries, journal sources, and citations. This study contributes to the decision-making process for research and development (R&D) on m Health for diabetes, adding value to science and technology output analysis.

Pedro Fernando Castillo-Valdez, Marisela Rodriguez-Salvador, Yuh-Shan Ho

JMIR Diabetes 2024;9:e52196

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The Skewed Impact of Highly Cited Articles on Journal Impact Factor

scientometricsScientometrics, Infometrics, and Altmetrics

Kazuki Ide

J Med Internet Res 2023;25:e45322

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How COVID-19 Affected the Journal Impact Factor of High Impact Medical Journals: Bibliometric Analysis

A discussion on the real repercussions of an overwhelming focus on COVID-19 research for scientometrics, such as that of the journal impact factor (IF), lacks in the existing literature. Given the role of these measures as benchmarks of research productivity and scholarly impact, editorial practices in favor of fast-track COVID-19 research output have fueled critiques, which view these as attempts to artificially inflate metrics at the potential expense of research quality.

Orestis Delardas, Panagiotis Giannos

J Med Internet Res 2022;24(12):e43089

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Scientific Publication Patterns of Systematic Reviews on Psychosocial Interventions Improving Well-being: Bibliometric Analysis

Reference 45: Big data and social media: a scientometrics analysisscientometrics

Ivanna Shubina

Interact J Med Res 2022;11(2):e41456

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Social Media Impact of Articles Published by Dermatology Residents During Medical School: Cross-sectional Study

scientometricsScientometrics, Infometrics, and Altmetrics Publication Behavior, Journalogy, Scientometrics and Research Issues in Dermatology

Austin Huang, Harrison Zhu, Kelvin Zhou, R Parker Kirby, Nina Dasari, Gianmarco A Calderara, Kathryn Cordova, Ryan Sorensen, Anshul Bhatnagar, Soo Jung Kim

JMIR Dermatol 2022;5(3):e39201

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Types of Errors Hiding in Google Scholar Data

In fact, the extraction of raw data with inaccuracies from GS may generate incorrect results in several research areas, such as bibliometrics, scientometrics, and research evaluation. Despite the data cleaning performed by researchers (mainly duplicate removal), citation counts retrieved from GS were generally used without substantial caution.

Romy Sauvayre

J Med Internet Res 2022;24(5):e28354

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Citation Advantage of Promoted Articles in a Cross-Publisher Distribution Platform: 36-Month Follow-up to a Randomized Controlled Trial

scientometricsScientometrics, Infometrics, and Altmetrics

Paul Kudlow, Tashauna Brown, Gunther Eysenbach

J Med Internet Res 2021;23(12):e34051

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Information and Scientific Impact of Advanced Therapies in the Age of Mass Media: Altmetrics-Based Analysis of Tissue Engineering

Reference 64: The big challenge of Scientometrics 2.0: exploring the broader impact of scientific research Reference 65: Alternative metrics in scientometrics: a meta-analysis of research into three altmetricsscientometricsScientometrics, Infometrics, and Altmetrics

Antonio Santisteban-Espejo, Miguel Angel Martin-Piedra, Antonio Campos, Julia Moran-Sanchez, Manuel J Cobo, Ana I Pacheco-Serrano, Jose A Moral-Munoz

J Med Internet Res 2021;23(11):e25394

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Emerging Trends and Thematic Evolution of Breast Cancer: Knowledge Mapping and Co-Word Analysis

In recent times, scientometrics—as a branch of information science and a bibliometric subfield—has been used in a plethora of studies to quantitatively examine emerging research patterns in the literature [11]. One of the most widely used methods for analyzing the structure of knowledge in various fields and drawing science maps is co-word analysis that examines the co-occurrence of keywords in the title, abstract, or text of articles.

Ali Sadatmoosavi, Oranus Tajedini, Omid Esmaeili, Firouzeh Abolhasani Zadeh, Mahdiyeh Khazaneha

JMIR Cancer 2021;7(4):e26691

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