文献计量学
引用
生产力
医学
质量(理念)
冲击系数
数据科学
引文分析
基础(证据)
管理科学
精算学
梅德林
知识管理
定性研究
作者
Noah Alter,Muhammad Daiem,Matthew E. Pontell,Izabela Galdyn,Michael S. Golinko,Galen Perdikis,William C. Lineaweaver
标识
DOI:10.1097/sap.0000000000004484
摘要
Bibliometric indices have long served as the foundation for assessing academic productivity and scholarly impact, influencing hiring decisions, tenure evaluations, grant allocations, and institutional rankings. However, traditional metrics such as the Journal Impact Factor and h-index exhibit fundamental limitations that fail to capture the complexity of academic contributions. These indices often prioritize citation counts, fail to account for variations in authorship contributions, and reinforce systemic disadvantages for early-career researchers. In response to these shortcomings, several alternative indices, including the m-quotient, g-index, Eigenfactor Score, and the Departmental Scholarly Index, have been proposed to refine research assessment. While these metrics introduce improvements, they remain constrained by a citation-based framework that disproportionately emphasizes publication volume over qualitative impact. A more comprehensive bibliometric model is needed-one that incorporates authorship position, field-normalized adjustments, and differentiates between research quality and sheer output.
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