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A proposal for a novel impact factor as an alternative to the JCR impact factor

One disadvantage of the JCR impact factor, the most commonly used assessment tool for ranking and evaluating scientific journals, is its inability in distinguishing among different shapes of citation distribution curves, leading to unfair evaluation of journals in some cases. This paper aims to put...

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Detalles Bibliográficos
Autores principales: Yang, Zu-Guo, Zhang, Chun-Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847704/
https://www.ncbi.nlm.nih.gov/pubmed/24296521
http://dx.doi.org/10.1038/srep03410
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author Yang, Zu-Guo
Zhang, Chun-Ting
author_facet Yang, Zu-Guo
Zhang, Chun-Ting
author_sort Yang, Zu-Guo
collection PubMed
description One disadvantage of the JCR impact factor, the most commonly used assessment tool for ranking and evaluating scientific journals, is its inability in distinguishing among different shapes of citation distribution curves, leading to unfair evaluation of journals in some cases. This paper aims to put forward an alternative impact factor (IF′) that can properly reflect citation distributions. The two impact factors are linearly and positively correlated, and have roughly the same order of magnitude. Because of the ability of IF′ in distinguishing among different shapes of citation distribution curves, IF′ may properly reflect the academic performance of a scientific journal in a way that is different from the JCR impact factor with some unique features that reward journals with highly cited papers. Therefore, it is suggested that IF′ could be used to complement the JCR impact factor.
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spelling pubmed-38477042013-12-03 A proposal for a novel impact factor as an alternative to the JCR impact factor Yang, Zu-Guo Zhang, Chun-Ting Sci Rep Article One disadvantage of the JCR impact factor, the most commonly used assessment tool for ranking and evaluating scientific journals, is its inability in distinguishing among different shapes of citation distribution curves, leading to unfair evaluation of journals in some cases. This paper aims to put forward an alternative impact factor (IF′) that can properly reflect citation distributions. The two impact factors are linearly and positively correlated, and have roughly the same order of magnitude. Because of the ability of IF′ in distinguishing among different shapes of citation distribution curves, IF′ may properly reflect the academic performance of a scientific journal in a way that is different from the JCR impact factor with some unique features that reward journals with highly cited papers. Therefore, it is suggested that IF′ could be used to complement the JCR impact factor. Nature Publishing Group 2013-12-03 /pmc/articles/PMC3847704/ /pubmed/24296521 http://dx.doi.org/10.1038/srep03410 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/
spellingShingle Article
Yang, Zu-Guo
Zhang, Chun-Ting
A proposal for a novel impact factor as an alternative to the JCR impact factor
title A proposal for a novel impact factor as an alternative to the JCR impact factor
title_full A proposal for a novel impact factor as an alternative to the JCR impact factor
title_fullStr A proposal for a novel impact factor as an alternative to the JCR impact factor
title_full_unstemmed A proposal for a novel impact factor as an alternative to the JCR impact factor
title_short A proposal for a novel impact factor as an alternative to the JCR impact factor
title_sort proposal for a novel impact factor as an alternative to the jcr impact factor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847704/
https://www.ncbi.nlm.nih.gov/pubmed/24296521
http://dx.doi.org/10.1038/srep03410
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