Most notable 100 articles of COVID-19: an Altmetric study based on bibliometric analysis

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dc.authoridBorku Uysal, Betul/0000-0001-9292-5024
dc.contributor.authorBorku Uysal, Betul
dc.contributor.authorIslamoglu, Mehmet Sami
dc.contributor.authorKoc, Suna
dc.contributor.authorKaradag, Mehmet
dc.contributor.authorDokur, Mehmet
dc.date.accessioned2024-09-18T20:04:24Z
dc.date.available2024-09-18T20:04:24Z
dc.date.issued2021
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractObjective The purpose of this study is to guide researchers in the COVID-19 pandemic by evaluating the 100 most cited articles of COVID-19 in terms of bibliometric analysis, Altmetric scores, and dimension badges. Methods COVID-19 was entered as the search term in Thomson Reuter's Web of Science database. The 100 most cited articles (T100) were analyzed bibliometrically. Altmetric attention scores (AASs) and dimension badge scores of the articles were evaluated. Results T100 articles were published from January to September 2020. The average citation of the top 100 articles on COVID-19 was 320 +/- 344.3 (143-2676). The language of all articles was English. The average Altmetric value of T100 is 3246 +/- 3795 (85-16,548) and the mean dimension badge value was 670 +/- 541.6 (176-4232). Epidemiological features (n = 22) and treatment (n = 21) were at the top of the main topics of T100 articles. Conclusion The more citations an article is made, the more it indicates the contribution of that article to science. However, the number of citations is not always the only indicator of article quality. The existence of methods that measure the impact of the article outside the academia to measure the value of the article arises more in an issue that affects the whole world, such as the COVID-19 pandemic.en_US
dc.identifier.doi10.1007/s11845-020-02460-8
dc.identifier.endpage1341en_US
dc.identifier.issn0021-1265
dc.identifier.issn1863-4362
dc.identifier.issue4en_US
dc.identifier.pmid33459942en_US
dc.identifier.scopus2-s2.0-85100196405en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1335en_US
dc.identifier.urihttps://doi.org/10.1007/s11845-020-02460-8
dc.identifier.urihttps://hdl.handle.net/20.500.12483/8149
dc.identifier.volume190en_US
dc.identifier.wosWOS:000608635400001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofIrish Journal of Medical Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBibliometric analysisen_US
dc.subjectCOVID-19en_US
dc.subjectPandemicen_US
dc.subjectSocial attentionen_US
dc.titleMost notable 100 articles of COVID-19: an Altmetric study based on bibliometric analysisen_US
dc.typeArticleen_US

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