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Journal Impact Factor/证据
方法证据记录

Journal Impact Factor

Journal Impact Factor (JIF) is a metric developed by Eugene Garfield in 1955 and published annually by Clarivate Analytics through Journal Citation Reports (JCR). It measures the average citation frequency of articles published in a journal over a two-year window, serving as a proxy for journal prestige and influence. A journal's Impact Factor equals the number of citations received in year Y to articles published in Y-1 and Y-2, divided by the number of citable items published in that same window. Despite widespread adoption in research evaluation, Impact Factor has significant limitations and critics argue it conflates journal prestige with article quality.

Sources recorded, not reviewed

源记录

引文逐字复制自方法源记录。这些引文不代表任何层级的验证。

Journal Impact Factor (JIF) Metric
分类方法记录 · process-pipeline / bibliometrics
  • Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178(4060), 471-479. · DOI 10.1126/science.178.4060.471
  • Clarivate Analytics. (2023). Journal Citation Reports: Impact Factor Methodology. https://clarivate.com/webofsciencegroup/essays/journal-citation-reports-methodology/ · URL
  • San Francisco Declaration on Research Assessment. (2012). Retrieved from https://sfdora.org/ · URL
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相关方法

从方法图中生成,显示为机器建议的关系 — 不推断任何证据声明。

Same method familyH-Indexmachine-suggested · Relational suggestion, not evidence.Same method familyJournal Citation Reportsmachine-suggested · Relational suggestion, not evidence.Same method familySCImago Journal Rankmachine-suggested · Relational suggestion, not evidence.Same method familyScopus Databasemachine-suggested · Relational suggestion, not evidence.Same method familyWeb of Science Databasemachine-suggested · Relational suggestion, not evidence.

证据状态

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

来源

从方法源记录复制的 3 条记录的引文。

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