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COVID-19 from a rheumatology perspective: bibliometric and altmetric analysis
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484846/ https://www.ncbi.nlm.nih.gov/pubmed/34596719 http://dx.doi.org/10.1007/s00296-021-04987-0 |
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author | Doskaliuk, Bohdana Yatsyshyn, Roman Klishch, Iryna Zimba, Olena |
author_facet | Doskaliuk, Bohdana Yatsyshyn, Roman Klishch, Iryna Zimba, Olena |
author_sort | Doskaliuk, Bohdana |
collection | PubMed |
description | 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; UK—184; France—114; Germany—110; India—98 and Spain—96, China—94, Canada—73 Turkey—66). 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. |
format | Online Article Text |
id | pubmed-8484846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-84848462021-10-01 COVID-19 from a rheumatology perspective: bibliometric and altmetric analysis Doskaliuk, Bohdana Yatsyshyn, Roman Klishch, Iryna Zimba, Olena Rheumatol Int Observational Research 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; UK—184; France—114; Germany—110; India—98 and Spain—96, China—94, Canada—73 Turkey—66). 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. Springer Berlin Heidelberg 2021-10-01 2021 /pmc/articles/PMC8484846/ /pubmed/34596719 http://dx.doi.org/10.1007/s00296-021-04987-0 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Observational Research Doskaliuk, Bohdana Yatsyshyn, Roman Klishch, Iryna Zimba, Olena COVID-19 from a rheumatology perspective: bibliometric and altmetric analysis |
title | COVID-19 from a rheumatology perspective: bibliometric and altmetric analysis |
title_full | COVID-19 from a rheumatology perspective: bibliometric and altmetric analysis |
title_fullStr | COVID-19 from a rheumatology perspective: bibliometric and altmetric analysis |
title_full_unstemmed | COVID-19 from a rheumatology perspective: bibliometric and altmetric analysis |
title_short | COVID-19 from a rheumatology perspective: bibliometric and altmetric analysis |
title_sort | covid-19 from a rheumatology perspective: bibliometric and altmetric analysis |
topic | Observational Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484846/ https://www.ncbi.nlm.nih.gov/pubmed/34596719 http://dx.doi.org/10.1007/s00296-021-04987-0 |
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