中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Comparative Study of Trace Metrics between Bibliometrics and Patentometrics

文献类型:期刊论文

作者Fred Y. Ye1; Mu-Hsuan Huang2; Dar-Zen Chen3
刊名journal of data and information science
出版日期2016-06-17
卷号1期号:2页码:13-31
关键词Performance matrix Trace metrics h-index|h-core I3 Bibliometrics Patentometrics
通讯作者dar-zhen chen (e-mail: dzchen@ntu.edu.tw).
中文摘要

purpose: to comprehensively evaluate the overall performance of a group or an individual in both bibliometrics and patentometrics.
design/methodology/approach: trace metrics were applied to the top 30 universities in the 2014 academic ranking of world universities (arwu) — computer sciences, the top 30 esi highly cited papers in the computer sciences field in 2014, as well as the top 30 assignees and the top 30 most cited patents in the national bureau of economic research (nber) computer hardware and software category.
findings: we found that, by applying trace metrics, the research or marketing impact efficiency, at both group and individual levels, was clearly observed. furthermore, trace metrics were more sensitive to the different publication-citation distributions than the average citation and h-index were.
research limitations: trace metrics considered publications with zero citations as negative contributions. one should clarify how he/she evaluates a zero-citation paper or patent before applying trace metrics.
practical implications: decision makers could regularly examinine the performance of their university/company by applying trace metrics and adjust their policies accordingly.
originality/value: trace metrics could be applied both in bibliometrics and patentometrics and provide a comprehensive view. moreover, the high sensitivity and unique impact efficiency view provided by trace metrics can facilitate decision makers in examining and adjusting their policies.

英文摘要

purpose: to comprehensively evaluate the overall performance of a group or an individual in both bibliometrics and patentometrics.
design/methodology/approach: trace metrics were applied to the top 30 universities in the 2014 academic ranking of world universities (arwu) — computer sciences, the top 30 esi highly cited papers in the computer sciences field in 2014, as well as the top 30 assignees and the top 30 most cited patents in the national bureau of economic research (nber) computer hardware and software category.
findings: we found that, by applying trace metrics, the research or marketing impact efficiency, at both group and individual levels, was clearly observed. furthermore, trace metrics were more sensitive to the different publication-citation distributions than the average citation and h-index were.
research limitations: trace metrics considered publications with zero citations as negative contributions. one should clarify how he/she evaluates a zero-citation paper or patent before applying trace metrics.
practical implications: decision makers could regularly examinine the performance of their university/company by applying trace metrics and adjust their policies accordingly.
originality/value: trace metrics could be applied both in bibliometrics and patentometrics and provide a comprehensive view. moreover, the high sensitivity and unique impact efficiency view provided by trace metrics can facilitate decision makers in examining and adjusting their policies.

学科主题新闻学与传播学 ; 图书馆、情报与文献学
收录类别其他
原文出处http://www.chinalibraries.net
语种英语
源URL[http://ir.las.ac.cn/handle/12502/8595]  
专题文献情报中心_Journal of Data and Information Science_Journal of Data and Information Science-2016
作者单位1.School of Information Management, Nanjing University, Nanjing 210023, China
2.Department of Library and Information Science, Taiwan University, Taipei 10617, China
3.Department of Mechanical Engineering and Institute of Industrial Engineering, Taiwan University, Taipei 10617, China
推荐引用方式
GB/T 7714
Fred Y. Ye,Mu-Hsuan Huang,Dar-Zen Chen. Comparative Study of Trace Metrics between Bibliometrics and Patentometrics[J]. journal of data and information science,2016,1(2):13-31.
APA Fred Y. Ye,Mu-Hsuan Huang,&Dar-Zen Chen.(2016).Comparative Study of Trace Metrics between Bibliometrics and Patentometrics.journal of data and information science,1(2),13-31.
MLA Fred Y. Ye,et al."Comparative Study of Trace Metrics between Bibliometrics and Patentometrics".journal of data and information science 1.2(2016):13-31.

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来源:文献情报中心

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