Artículo

Defining, Measuring, and Rewarding Scholarly Impact: Mind the Level of Analysis

Resumen

We address the grossly incorrect inferences that result from using journal impact factor (JIF) as a proxy to assess individual researcher and article scholarly impact. This invalid practice occurs because of confusion about the definition and measurement of impact at different levels of analysis. Specifically, JIF is a journal-level measure of impact, computed by aggregating citations of individual articles (i.e., upward effect), and is therefore inappropriate when measuring impact at lower levels of analysis, such as that of individual researchers, or of individual articles published in a particular journal (i.e., downward effect). We illustrate the severity of the errors that occur when using JIF to evaluate individual scholarly impact, and advocate for an immediate moratorium on the exclusive use of JIF and other journal-level (i.e., higher level of analysis) measures when assessing the impact of individual researchers and individual articles (i.e., lower level of analysis). Given the importance and interest in assessing the scholarly impact of researchers and articles, we delineate level-appropriate and readily available measures. We discuss implications for the careers of researchers and educators, the administration and future of business schools, and provide recommendations regarding the assessment of scholarly impact.
Jiang, Wenshuo (59129847200); Zhao, Zhigang (57190214291)
Trends in research on AI-aided drug discovery from 2009 to 2023: A 15-year bibliometric analysis
2025
10.1016/j.ipha.2024.09.001
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212061111&doi=10.1016%2fj.ipha.2024.09.001&partnerID=40&md5=b3447fcfd17488160d15f721ea76776d
Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, China
All Open Access; Hybrid Gold Open Access
Scopus
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