Comparative Study of Trace Metrics between Bibliometrics and Patentometrics
Fred Y. Ye1; Mu-Hsuan Huang2; Dar-Zen Chen3; Dar-Zhen Chen (E-mail: dzchen@ntu.edu.tw).
2016-06-17
Source PublicationJournal of Data and Information Science
Volume1Issue:2Pages:13-31
Abstract

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.

;

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.

SubtypeResearch Paper
KeywordPerformance Matrix Trace Metrics h-index|h-core I3 Bibliometrics Patentometrics
Subject Area新闻学与传播学 ; 图书馆、情报与文献学
DOI10.20309/jdis.201611
URL查看原文
Indexed By其他
Project NumberGrant No.: 71173187
Language英语
Funding Projectthe National Natural Science Foundation of China ; Jiangsu Key Laboratory Fund for financial support
Funding OrganizationMs. Danqi Shen ; Ms. Helen F. Xue ; Ms. Mei-Chun Lin
Citation statistics
Document Type期刊论文
Identifierhttp://ir.las.ac.cn/handle/12502/8595
CollectionJournal of Data and Information Science_Journal of Data and Information Science-2016
Corresponding AuthorDar-Zhen Chen (E-mail: dzchen@ntu.edu.tw).
Affiliation1.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
First Author Affilication中国科学院文献情报中心
Recommended Citation
GB/T 7714
Fred Y. Ye,Mu-Hsuan Huang,Dar-Zen Chen,et al. 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,&Dar-Zhen 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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