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Measuring the innovation of method knowledge elements in scientific literature

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成果类型:
期刊论文
作者:
Wang, Zhongyi;Wang, Keying;Liu, Jiyue;Huang, Jing;Chen, Haihua
通讯作者:
Haihua Chen
作者机构:
[Liu, Jiyue; Wang, Keying; Wang, Zhongyi] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Huang, Jing] Wuhan Polytech, Wuhan 430023, Peoples R China.
[Chen, Haihua] Univ North Texas, Dept Informat Sci, Denton, TX 76203 USA.
通讯机构:
[Haihua Chen] D
Department of Information Science, University of North Texas, Denton, TX, United States
语种:
英文
关键词:
Academic literature;Method knowledge element;Biterm topic model;Cloud model;Similarity cloud;Innovation degree
期刊:
Scientometrics
ISSN:
0138-9130
年:
2022
卷:
127
期:
5
页码:
2803-2827
基金类别:
This study was supported by Humanities and Social Science Research Foundation of Ministry of Education of China (Grant Number 21YJA870003) and National Social Science Foundation of China (Grant Number 19ZDA345).
机构署名:
本校为第一机构
院系归属:
信息管理学院
摘要:
Interest in assessing research impacts is increasing due to its importance for informing actions and funding allocation decisions. The level of innovation (also called “innovation degree” in the following article), one of the most essential factors that affect scientific literature’s impact, has also received increasing attention. However, current studies mainly focus on the overall innovation degree of scientific literature at the macro level, while ignoring the innovation degree of a specific knowledge element (KE), such as the method know...

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