Bibliometric Analysis of the100 Highly-cited Articles about COVID-19.

Ahmadreza Afshar · Ali Tabrizi

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scientometrics and bibliometrics research Academic Publishing and Open Access Psychology Research and Bibliometrics

Abstract

We have to indicate that the number of 100 was arbitrary. Collecting a large number of citations dose not necessary indicates that the study is the best and has a high level of evidence. This study by no means negate high quality important articles that have been published recently and had not enough time to increase their citations yet. Findings on COVID-19 Characteristics are rapidly changing and subject to selection bias. The current study was a cross-sectional study on August 6, 2020; therefore, our findings will be changed overtime.

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2022Mapeo de protocolos de investigación, publicaciones y colaboraciones sobre la COVID-19 en América Latina y el Caribe

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