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剖析干扰分数与被引频次之间的关系。

Breaking down the relationship between disruption scores and citation counts.

作者信息

Li Mingtang, Livan Giacomo, Righi Simone

机构信息

Department of Computer Science, University College London, London, United Kingdom.

Dipartimento di Fisica, Università degli Studi di Pavia, Pavia, Italy.

出版信息

PLoS One. 2024 Dec 19;19(12):e0313268. doi: 10.1371/journal.pone.0313268. eCollection 2024.

DOI:10.1371/journal.pone.0313268
PMID:39700077
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11658639/
Abstract

The emergence of the disruption score provides a new perspective that differs from traditional metrics of citations and novelty in research evaluation. Motivated by current studies on the differences among these metrics, we examine the relationship between disruption scores and citation counts. Intuitively, one would expect disruptive scientific work to be rewarded by high volumes of citations and, symmetrically, impactful work to also be disruptive. A number of recent studies have instead shown that such intuition is often at odds with reality. In this paper, we break down the relationship between impact and disruption with a detailed correlation analysis in two large data sets of publications in Computer Science and Physics. We find that highly disruptive papers tend to receive a higher number of citations than average. Contrastingly, the opposite is not true, as we do not find highly cited papers to be particularly disruptive. Notably, these results qualitatively hold even within individual scientific careers, as we find that-on average-an author's most disruptive work tends to be well cited, whereas their most cited work does not tend to be disruptive. We discuss the implications of our findings in the context of academic evaluation systems, and show how they can contribute to reconcile seemingly contradictory results in the literature.

摘要

颠覆性得分的出现为研究评估提供了一个不同于传统的引用指标和新颖性指标的新视角。受当前关于这些指标差异的研究启发,我们研究了颠覆性得分与引用次数之间的关系。直观地说,人们会期望具有颠覆性的科学工作能获得大量引用作为回报,对称地,有影响力的工作也应该具有颠覆性。然而,最近的一些研究表明,这种直觉往往与现实不符。在本文中,我们通过对计算机科学和物理学两个大型出版物数据集进行详细的相关性分析,剖析了影响力与颠覆性之间的关系。我们发现,具有高度颠覆性的论文往往比平均水平获得更多的引用。相反,情况并非如此,因为我们没有发现被高度引用的论文特别具有颠覆性。值得注意的是,即使在个体的科学职业生涯中,这些结果在定性上也是成立的,因为我们发现,平均而言,一位作者最具颠覆性的工作往往被引用得很好,而他们被引用最多的工作往往不具有颠覆性。我们在学术评估系统的背景下讨论了我们的研究结果的含义,并展示了它们如何有助于调和文献中看似矛盾的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6142/11658639/2b225100830d/pone.0313268.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6142/11658639/c02fe43906b8/pone.0313268.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6142/11658639/90005900fbae/pone.0313268.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6142/11658639/7bedd598d14a/pone.0313268.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6142/11658639/57d3f6cee081/pone.0313268.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6142/11658639/2b225100830d/pone.0313268.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6142/11658639/c02fe43906b8/pone.0313268.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6142/11658639/90005900fbae/pone.0313268.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6142/11658639/7bedd598d14a/pone.0313268.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6142/11658639/57d3f6cee081/pone.0313268.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6142/11658639/2b225100830d/pone.0313268.g005.jpg

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Papers and patents are becoming less disruptive over time.随着时间的推移,论文和专利的颠覆性越来越小。
Nature. 2023 Jan;613(7942):138-144. doi: 10.1038/s41586-022-05543-x. Epub 2023 Jan 4.
3
Slowed canonical progress in large fields of science.减缓了大型科学领域的规范进展。
Proc Natl Acad Sci U S A. 2021 Oct 12;118(41). doi: 10.1073/pnas.2021636118.
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Don't follow the leader: how ranking performance reduces meritocracy.不要追随领导者:排名表现如何降低精英统治。
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Early coauthorship with top scientists predicts success in academic careers.与顶尖科学家的早期合作预示着学术生涯的成功。
Nat Commun. 2019 Nov 15;10(1):5170. doi: 10.1038/s41467-019-13130-4.
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Citation gaming induced by bibliometric evaluation: A country-level comparative analysis.引文游戏引发的文献计量评估:国家层面的比较分析。
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Large teams develop and small teams disrupt science and technology.大团队推动科学技术发展,小团队则颠覆之。
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