A BIBLIOMETRIC ANALYSIS OF RHEUMATOLOGY AND COVID-19 RESEARCHES
Abstract
Objectives
COVID-19 has had a substantial impact on rheumatology. This study provides a general overview of studies on rheumatology and COVID-19.
Methods
Data were taken from the Web of Science (WoS) website. Analysis and network visualization mapping processes were carried out using VOSviewer. A total of 234 publications were analyzed, and the correlations between citation numbers and reference counts, usage counts and page numbers were analyzed with Spearman correlation coefficients.
Results
The average number of citations per item was 6.03. The studies were cited 1,411 times in total, and 1,121 times without self-citations. The countries with the highest number of publications on rheumatology and COVID-19 were the USA and England; the countries with the highest number of citations were Italy and the USA, and Jinoos Yazdany was the most cited author. The Annals of the Rheumatic Diseases was the most cited journal, whereas the highest number of articles on rheumatology and COVID-19 were published in Arthritis and Rheumatology.
Conclusions
Bibliometric analysis of rheumatology and COVID-19 can be useful to future studies because it provides a general perspective on the studies. This study provides an insight into the development of publications on rheumatology during the COVID-19 pandemic.
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