A measure and the related models for characterizing the usage of academic journal

Lili Qiao, Star X. Zhao, Yutong Ji and Wu Li

Journal of Informetrics, 2025, vol. 19, issue 2

Abstract: Based on the underlying usage data given by the Web of Science, we establish a novel metric, termed Uh-index for multi-dimensional assessment of academic journals. Our research objectively examines the empirical and theoretical dimensions of the Uh-index, assessing its validity and potential use in scientific evaluation. For this study, we conducted a quantitative analysis of the Uh-index for 1,603 journals across the fields of physics, chemistry, economics, and management, and explored potential theory models. It reveals that the Uh-index, as a literature metric based on usage data, is more sensitive and discriminatory compared to the h-index, which relies solely on citation data. Additionally, the Uh-index and paper usage data were consistent with both the Glänzel–Schubert and the power-law model. It indicates that the Uh index, as an impact observatory index, aligns with the fundamental principles of scientific knowledge dissemination, thereby holding significant scientific value. It facilitates the quantification of dissemination characteristics of core articles in journals, laying the foundation for a novel approach to categorizing and evaluating journals based on both theoretical orientation and practical application. Finally, from a multidimensional research evaluation perspective, the Uh index offers a transitional dimension for observation, bridging the gap between academic citations and the broader dissemination of research through on social media.

Keywords: Research evaluation; Usage; h-type measures; Informetric models; Bibliometrics (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:19:y:2025:i:2:s1751157725000070

DOI: 10.1016/j.joi.2025.101643

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