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The h-index is no longer an effective correlate of scientific reputation

机译:H-Index不再有效地关联科学声誉

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The impact of individual scientists is commonly quantified using citation-based measures. The most common such measure is the h-index. A scientist’s h-index affects hiring, promotion, and funding decisions, and thus shapes the progress of science. Here we report a large-scale study of scientometric measures, analyzing millions of articles and hundreds of millions of citations across four scientific fields and two data platforms. We find that the correlation of the h-index with awards that indicate recognition by the scientific community has substantially declined. These trends are associated with changing authorship patterns. We show that these declines can be mitigated by fractional allocation of citations among authors, which has been discussed in the literature but not implemented at scale. We find that a fractional analogue of the h-index outperforms other measures as a correlate and predictor of scientific awards. Our results suggest that the use of the h-index in ranking scientists should be reconsidered, and that fractional allocation measures such as h-frac provide more robust alternatives.
机译:使用基于引文的措施,各个科学家的影响通常是量化的。最常见的这样的措施是H-Index。科学家的H形标对招聘,晋升和融资决策影响,从而塑造科学的进步。在这里,我们报告了对科学措施的大规模研究,分析了数百万条纹的文章,并跨四个科学领域和两个数据平台。我们发现H-Index与奖项的相关性,表明科学界的认可大幅下降。这些趋势与改变的作者模式有关。我们认为,这些拒绝可以通过作者之间的传票分数分配,这些拒绝在文献中讨论但未在规模实施。我们发现H-Index的分数模拟优于科学奖项的相关性和预测因素。我们的研究结果表明,应重新考虑在排名科学家中使用H-Index,以及H-FRAC等分数分配措施提供更强大的替代方案。

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