logo
Volume 30, Issue 2 (Spring 2024)                   Intern Med Today 2024, 30(2): 0-0 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Dastani M, Dalili Shoae M, Moshari J. The Role of Scientometrics in Analyzing the Research Trends of COVID-19 Scientific Publications During the First Year of the Pandemic: A Scoping Review. Intern Med Today 2024; 30 (2)
URL: http://imtj.gmu.ac.ir/article-1-4099-en.html
1- Department of Knowledge and Information Science, Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
2- Department of Health Information Technology, Isfahan University of Medical Sciences, Isfahan, Iran
3- School of Medicine, Nursing Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
Abstract:   (70 Views)
Background and Objective: With the rapid expansion of scientific publications on coronavirus and COVID-19, scientometrics has emerged as an essential tool for evaluating research patterns and trends, thereby contributing significantly to understanding the scientific framework of the COVID-19 pandemic. Numerous scientometric studies have been conducted in this field. Accordingly, this study aimed to review the scientometric articles published on coronavirus and COVID-19.
Methods: This scoping review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data were collected on November 30, 2020, from databases, including PubMed, Web of Science, Scopus, and ProQuest, as well as from preprint repositories (BioRxiv and MedRxiv) and Google Scholar. After applying inclusion and exclusion criteria, 46 articles were selected for review and analysis.
Results: The findings indicated that scientometric articles on coronavirus and COVID-19 were published over a range of time intervals from February to August. A total of 19 articles focused on scientometric analyses of coronavirus-related publications, while 28 articles addressed COVID-19-related publications. Regarding data sources, 18 studies used Web of Science, 18 used Scopus, seven used PubMed, and seven utilized other databases. Some studies also collected data from several sources. The number of publications analyzed in these articles ranged from 169 to more than 47,000.
Conclusion: The results highlight the rapid growth of COVID-19 publications. In this regard, the published scientometric and bibliometric studies on coronavirus aimed to provide a comprehensive overview of scientific efforts, covering various timeframes and perspectives on the pandemic.

 
     
Type of Study: Review | Subject: Internal Medicine
Received: 2025/07/31 | Accepted: 2025/10/13 | Published: 2024/03/1

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.