大多数研究人员将获得更多的认可,如果通过文章级度量衡量,而不是通过期刊级度量衡量
Salsabil Arabi1, Chaoqun Ni1, B Ian Hutchins1
1Information School, School of Computer, Data, and Information Sciences, College of Letters & Science, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
PLoS biology
|December 16, 2025
概括
期刊影响因素忽略了最有影响力的生物医学研究. 许多备受引用的论文都是在知名期刊之外发表的,这可能会使研究人员处于不利地位,并限制对科学贡献的认可.
科学领域:
- 生物医学研究的研究.
- 图书统计学 图书统计学
- 科学出版业的科学出版.
背景情况:
- 传统的生物医学职业发展依赖于期刊影响因素.
- 高影响力的期刊拒绝了许多有价值的论文,可能忽视了有影响力的科学.
- 期刊的声望可能不准确地反映文章的影响.
研究的目的:
- 量化有影响力的科学文章经常被期刊声望等级所忽视的程度.
- 为了比较基于期刊影响因子和引用数量的认可.
- 评估期刊级评价对不同研究小组的影响.
主要方法:
- 基于发表在高影响力期刊上的量化科学认可 (影响因子值).
- 基于引用数量的定量认可,相对于具有高影响力的期刊文章.
- 分析了跨性别,种族和职业阶段的数据.
主要成果:
- 引用量高的论文数量远远超过那些发表在具有影响力的期刊上.
- 这种差异影响了所有人口统计学领域的研究人员.
- 大约50%的研究人员发表的研究成果影响因子低于15,他们的大部分工作具有影响力.
结论:
- 像影响因子这样的期刊级别指标可能只能识别10%-20%的有影响力的生物医学研究.
- 当前的评估系统有可能忽视了大量的科学贡献.
- 重新思考评估指标对于公平的职业发展和资金分配至关重要.
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