Literature DB >> 31248943

Journal impact factor: a bumpy ride in an open space.

Mirit Kaldas1,2, Stephen Michael1,2, Jessica Hanna1,2, George M Yousef1,2.   

Abstract

The journal impact factor (IF) is the leading method of scholarly assessment in today's research world. An important question is whether or not this is still a constructive method. For a specific journal, the IF is the number of citations for publications over the previous 2 years divided by the number of total citable publications in these years (the citation window). Although this simplicity works to an advantage of this method, complications arise when answers to questions such as 'What is included in the citation window' or 'What makes a good journal impact factor' contain ambiguity. In this review, we discuss whether or not the IF should still be considered the gold standard of scholarly assessment in view of the many recent changes and the emergence of new publication models. We will outline its advantages and disadvantages. The advantages of the IF include promoting the author meanwhile giving the readers a visualization of the magnitude of review. On the other hand, its disadvantages include reflecting the journal's quality more than the author's work, the fact that it cannot be compared across different research disciplines, and the struggles it faces in the world of open access. Recently, alternatives to the IF have been emerging, such as the SCImago Journal & Country Rank, the Source Normalized Impact per Paper and the Eigenfactor Score, among others. However, all alternatives proposed thus far are associated with their own limitations as well. In conclusion, although IF contains its cons, until there are better proposed alternative methods, IF remains one of the most effective methods for assessing scholarly activity. © American Federation for Medical Research 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Keywords:  education, medical; evidence-based medicine; science

Mesh:

Year:  2019        PMID: 31248943     DOI: 10.1136/jim-2019-001009

Source DB:  PubMed          Journal:  J Investig Med        ISSN: 1081-5589            Impact factor:   2.895


  3 in total

1.  Current Status and Trends in Research on Caries Diagnosis: A Bibliometric Analysis.

Authors:  María Melo; José Luis Sanz; Leopoldo Forner; Francisco Javier Rodríguez-Lozano; Julia Guerrero-Gironés
Journal:  Int J Environ Res Public Health       Date:  2022-04-20       Impact factor: 4.614

2.  Why was this cited? Explainable machine learning applied to COVID-19 research literature.

Authors:  Lucie Beranová; Marcin P Joachimiak; Tomáš Kliegr; Gollam Rabby; Vilém Sklenák
Journal:  Scientometrics       Date:  2022-04-09       Impact factor: 3.801

3.  Scientific Knowledge of Rheumatoid Arthritis: A Bibliometric Analysis from 2011 to 2020.

Authors:  Jia Xu; Jiahui Yu; Wei Jiao; Guangxing Chen; Lijuan Liu; Mingying Zhang; Danbin Wu
Journal:  J Pain Res       Date:  2022-09-08       Impact factor: 2.832

  3 in total

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