Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Antibiotics: A Bibliometric Analysis of top 100 classics

Version 1 : Received: 22 April 2020 / Approved: 23 April 2020 / Online: 23 April 2020 (15:20:39 CEST)

A peer-reviewed article of this Preprint also exists.

Arshad, A.I.; Ahmad, P.; Karobari, M.I.; Asif, J.A.; Alam, M.K.; Mahmood, Z.; Abd Rahman, N.; Mamat, N.; Kamal, M.A. Antibiotics: A Bibliometric Analysis of Top 100 Classics. Antibiotics 2020, 9, 219. Arshad, A.I.; Ahmad, P.; Karobari, M.I.; Asif, J.A.; Alam, M.K.; Mahmood, Z.; Abd Rahman, N.; Mamat, N.; Kamal, M.A. Antibiotics: A Bibliometric Analysis of Top 100 Classics. Antibiotics 2020, 9, 219.

Abstract

Citation frequencies represent the most significant contributions in any respective field. This bibliometric analysis aimed to identify and analyze the 100 most-cited publications in the field of antibiotics and to highlight the trends of research in this field. “All databases” of Clarivate Analytics' Web of Science was used to identify and analyze the 100 publications. The articles were then cross-matched with Scopus and Google Scholar. The frequency of citation ranged from 940 to 11051 for the Web of Science, 1053 to 10740 for Scopus, and 1162 to 20041 for Google Scholar. Five hundred thirteen authors made contributions to the ranked list, and Robert E.W. Hancock contributed in six articles, which made it to the ranked list. Sixty-six scientific contributions originated from the United States of America. In contrast, five publications were linked to the University of Manitoba, Canada, that was identified as the educational organization, which made the most contributions (n=5). According to the methodological design, 26 of the most cited works were review-type closely followed by 23 expert opinions/perspectives. Eight articles were published in Nature journal, making it the journal with the most scientific contribution in this field. Correlation analysis between the publication age and citation frequency was found statistically significant (P = .012).

Keywords

citation classics; top-cited articles; antibiotics; bibliometric analysis; antibacterial; antimicrobials

Subject

Medicine and Pharmacology, Other

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