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h 指数不再是科学声誉的有效关联指标。

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

机构信息

Intelligent Systems Lab, Intel, Jackson, WY, United States of America.

Intelligent Systems Lab, Intel, Neubiberg, Germany.

出版信息

PLoS One. 2021 Jun 28;16(6):e0253397. doi: 10.1371/journal.pone.0253397. eCollection 2021.

Abstract

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.

摘要

个体科学家的影响力通常通过基于引文的指标来量化。最常见的此类指标是 h 指数。科学家的 h 指数会影响招聘、晋升和资金决策,从而影响科学的发展。在这里,我们报告了一项关于科学计量学指标的大规模研究,分析了四个科学领域和两个数据平台上的数百万篇文章和数亿条引文。我们发现,h 指数与表明科学界认可的奖项之间的相关性已经大幅下降。这些趋势与作者署名模式的变化有关。我们表明,通过在作者之间分配部分引文,可以缓解这些下降,这在文献中已经讨论过,但没有大规模实施。我们发现,h 指数的分数模拟作为科学奖项的相关指标和预测指标表现更好。我们的研究结果表明,在对科学家进行排名时,应该重新考虑 h 指数的使用,而 h 分数等分数分配指标则提供了更可靠的替代方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/75ce/8238192/330009d7b36e/pone.0253397.g001.jpg

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