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Review
. 2021 Jul-Sep;25(3):e2021.00010.
doi: 10.4293/JSLS.2021.00010.

Scientific Literature and Evaluation Metrics: Impact Factor, Usage Metrics, and Altmetrics

Affiliations
Review

Scientific Literature and Evaluation Metrics: Impact Factor, Usage Metrics, and Altmetrics

Michael S Kavic et al. JSLS. 2021 Jul-Sep.

Abstract

Evaluating the quality of a scientific article has proven to be an elusive task. The most widely used bibliometric value currently used for this purpose, the journal impact factor, was not originally designed to determine the quality of research in a scientific article. Nevertheless, it has morphed into a surrogate to delineate the quality of a journal and even to represent the quality of individual articles in that that journal. Early 21st century advances in computer technology have seen an explosive revolution in scientific publication that have included open access, online publication, and world-wide accessibility to these publications. These developments have made it obvious that more sophisticated tools are required to delimit the quality of material present in the scientific literature. Usage data, which is measured as the number of full-text downloads of a specific article, is just one new method to evaluate the source of the vast material available that can be leveraged to more fully evaluate the merit of scientific literature.

Keywords: Altmetrics; Impact Factor; Literature Evaluation Metrics; Usage Metrics.

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References

    1. Bollen J, Van de Sompel H, Hagberg A, Chute R. A principal component analysis of 39 scientific impact measures. PLos One. 2009;4(6):e6022. Accessed January 19, 2021. - PMC - PubMed
    1. DiBartola SP, Hinchcliff KW. Metrics and the scientific literature: deciding what to read. J Vet Intern Med. 2017;31(3):629–632. - PMC - PubMed
    1. Levy S. Hackers: Heroes of the computer revolution. 1984. Anchor Press/Doubleday. ISBN: 0-385-19195-2.
    1. Garfield E. Journal impact factor: a brief review. Canadian Medical Journal. 1999;161:979–980. - PMC - PubMed
    1. Callaway E. Beat it, impact factor! Publishing elite turns against controversial metric. Nature. 2016;535(7611):210–1. - PubMed

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