COVID-19 from a rheumatology perspective: bibliometric and altmetric analysis

Abstract

The Coronavirus disease 2019 (COVID-19) outbreak turned out the greatest pandemic for decades. It challenged enormously the global health system, forcing it to adjust to the new realities. We aimed to analyze articles covering COVID-19 papers in the rheumatological field and outline emerging topics raising within this frame. We applied the bibliometric database Scopus for our literature search and conducted it on the 5th of June using the following keywords: "rheumatic" OR "rheumatology" OR "rheumatoid arthritis" OR "systemic lupus erythematosus" OR "myositis" OR "systemic sclerosis" OR "vasculitis" OR "arthritis" OR "ankylosing spondylitis" AND "COVID-19". We analyzed all selected articles according to various aspects: type of document, authorship, journal, citations score, rheumatology field, country of origin, language, and keywords. With the help of the software tool VOSviewer version 1.6.15, we have built the visualizing network of authors and keywords co-occurrence. The measurement of the social impact of articles was made using Altmetric data. This study included 1430 retrieved articles with open access mostly. The top five journals in this field were Annals of the Rheumatic Diseases (n = 65), Rheumatology International (n = 51), Clinical Rheumatology (n = 50), Lancet Rheumatology (n = 50), and Frontiers In Immunology (n = 33). Most studies originate from countries with a high incidence of COVID-19 among the general population (the USA-387; Italy-268; . Original Articles (42.1%) were the most common articles' type, following by Letters (24.4%), Reviews (21.7%), Notes (6%), Editorials (4.8%), Erratum (1%). According to the citations scores, articles dedicated to the clinical course of COVID-19 in patients with rheumatic diseases were of the highest importance for the scientific rheumatologic community. Rheumatoid arthritis (n = 527), systemic lupus erythematosus (n = 393), vasculitis (n = 267), myositis (n = 71), systemic sclerosis (n = 68), and psoriatic arthritis (n = 68) were the most widely discussed rheumatic diseases in the view of COVID-19. The analysis of Altmetric and citations scores revealed a moderate correlation between them. This article provides a comprehensive bibliometric and altmetric analysis of COVID-19 related articles in the rheumatology field and summarizes data about features of rheumatology service in the time of the pandemic.

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