Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities

计算机科学 数据科学 引用 科学知识社会学 科学文献 度量(数据仓库) 知识管理 数据挖掘 认识论 生物 万维网 哲学 古生物学
作者
Shiyun Wang,Yaxue Ma,Jin Mao,Yun Bai,Zhentao Liang,Gang Li
出处
期刊:Journal of the Association for Information Science and Technology [Wiley]
卷期号:74 (2): 150-167 被引量:43
标识
DOI:10.1002/asi.24719
摘要

Abstract Compared to previous studies that generally detect scientific breakthroughs based on citation patterns, this article proposes a knowledge entity‐based disruption indicator by quantifying the change of knowledge directly created and inspired by scientific breakthroughs to their evolutionary trajectories. Two groups of analytic units, including MeSH terms and their co‐occurrences, are employed independently by the indicator to measure the change of knowledge. The effectiveness of the proposed indicators was evaluated against the four datasets of scientific breakthroughs derived from four recognition trials. In terms of identifying scientific breakthroughs, the proposed disruption indicator based on MeSH co‐occurrences outperforms that based on MeSH terms and three earlier citation‐based disruption indicators. It is also shown that in our indicator, measuring the change of knowledge inspired by the focal paper in its evolutionary trajectory is a larger contributor than measuring the change created by the focal paper. Our study not only offers empirical insights into conceptual understanding of scientific breakthroughs but also provides practical disruption indicator for scientists and science management agencies searching for valuable research.
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