Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities
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 trajector...
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| Veröffentlicht in: | Journal of the Association for Information Science and Technology Jg. 74; H. 2; S. 150 - 167 |
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| Hauptverfasser: | , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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Hoboken, USA
John Wiley & Sons, Inc
01.02.2023
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| ISSN: | 2330-1635, 2330-1643 |
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| 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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| AbstractList | 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. |
| Author | Ma, Yaxue Liang, Zhentao Wang, Shiyun Mao, Jin Li, Gang Bai, Yun |
| Author_xml | – sequence: 1 givenname: Shiyun surname: Wang fullname: Wang, Shiyun organization: Wuhan University – sequence: 2 givenname: Yaxue surname: Ma fullname: Ma, Yaxue email: mayaxue@nju.edu.cn organization: Nanjing University – sequence: 3 givenname: Jin orcidid: 0000-0001-9572-6709 surname: Mao fullname: Mao, Jin email: danveno@163.com organization: Wuhan University – sequence: 4 givenname: Yun surname: Bai fullname: Bai, Yun organization: Wuhan University – sequence: 5 givenname: Zhentao orcidid: 0000-0003-2927-3523 surname: Liang fullname: Liang, Zhentao organization: Wuhan University – sequence: 6 givenname: Gang surname: Li fullname: Li, Gang organization: Wuhan University |
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| Cites_doi | 10.1038/s41586-019-0941-9 10.1002/asi 10.1007/s11192-021-04191-8 10.1016/j.respol.2019.04.009 10.1016/j.respol.2017.06.006 10.1287/mnsc.2015.2366 10.2307/2532419 10.1016/j.ipm.2020.102428 10.1016/j.techfore.2020.120502 10.1016/j.techfore.2012.09.017 10.1126/science.aao0185 10.1093/shm/hkn110 10.1007/s11192-021-04003-z 10.1038/d41586-019-00350-3 10.1016/j.joi.2021.101159 10.1177/0003122415601618 10.1162/qss_a_00068 10.1007/s11192-018-2867-7 10.1126/science.1240474 10.1016/j.ipm.2019.102168 10.1002/asi.23541 10.2307/2089193 10.1162/qss_a_00079 10.1257/aeri.20190499 10.1103/PhysRevLett.75.3969 10.1108/JD-07-2017-0108 10.1126/science.1147166 10.1126/sciadv.1601315 10.1371/journal.pone.0254034 10.1148/radiology.143.1.7063747 10.1016/j.ipm.2021.102862 10.1016/j.techfore.2018.05.018 10.2139/ssrn.2216732 |
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| Notes | Funding information National Natural Science Foundation of China, Grant/Award Numbers: 71921002, 72174154, 72204109; The Jiangsu Funding Program for Excellent Postdoctoral Talent. |
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