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文章级别指标。

Article-Level Metrics.

机构信息

Departments of Rheumatology and Research and Development, Dudley Group NHS Foundation Trust (Teaching Trust of the University of Birmingham, UK), Russells Hall Hospital, Dudley, UK.

Department of Biology and Biochemistry, South Kazakhstan Medical Academy, Shymkent, Kazakhstan.

出版信息

J Korean Med Sci. 2021 Mar 22;36(11):e74. doi: 10.3346/jkms.2021.36.e74.

Abstract

In the era of digitization and Open Access, article-level metrics are increasingly employed to distinguish influential research works and adjust research management strategies. Tagging individual articles with digital object identifiers allows exposing them to numerous channels of scholarly communication and quantifying related activities. The aim of this article was to overview currently available article-level metrics and highlight their advantages and limitations. Article views and downloads, citations, and social media metrics are increasingly employed by publishers to move away from the dominance and inappropriate use of journal metrics. Quantitative article metrics are complementary to one another and often require qualitative expert evaluations. Expert evaluations may help to avoid manipulations with indiscriminate social media activities that artificially boost altmetrics. Values of article metrics should be interpreted in view of confounders such as patterns of citation and social media activities across countries and academic disciplines.

摘要

在数字化和开放获取的时代,文章级计量指标越来越多地被用于区分有影响力的研究工作,并调整研究管理策略。通过给单个文章分配数字对象标识符,可以将其暴露在众多学术交流渠道中,并量化相关活动。本文旨在概述当前可用的文章级计量指标,并强调其优缺点。出版商越来越多地使用文章的浏览量和下载量、引文和社交媒体计量指标,以摆脱期刊计量指标的主导地位和不当使用。定量文章计量指标相互补充,通常需要定性的专家评估。专家评估可以帮助避免与社交媒体活动的盲目操纵,这些活动会人为地提高替代计量指标。应该根据引文和社交媒体活动在国家和学术学科之间的模式等混杂因素来解释文章计量指标的值。

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