<abstract xmlns="http://www.w3.org/1999/xhtml"><sec id="j_jdis.201611_s_005_w2aab2b8c36b1b7b1aab1c15b1Aa"><h3>Purpose</h3><p>To comprehensively evaluate the overall performance of a group or an individual in both bibliometrics and patentometrics.</p></sec><sec id="j_jdis.201611_s_006_w2aab2b8c36b1b7b1aab1c15b2Aa"><h3>Design/methodology/approach</h3><p>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.</p></sec><sec id="j_jdis.201611_s_007_w2aab2b8c36b1b7b1aab1c15b3Aa"><h3>Findings</h3><p>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 <italic>h</italic>-index were.</p></sec><sec id="j_jdis.201611_s_008_w2aab2b8c36b1b7b1aab1c15b4Aa"><h3>Research limitations</h3><p>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.</p></sec><sec id="j_jdis.201611_s_009_w2aab2b8c36b1b7b1aab1c15b5Aa"><h3>Practical implications</h3><p>Decision makers could regularly examine the performance of their university/company by applying trace metrics and adjust their policies accordingly.</p></sec><sec id="j_jdis.201611_s_010_w2aab2b8c36b1b7b1aab1c15b6Aa"><h3>Originality/value</h3><p>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.</p></sec></abstract>

PurposeTo comprehensively evaluate the overall performance of a group or an individual in both bibliometrics and patentometrics.Design/methodology/approachTrace 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.FindingsWe 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 limitationsTrace 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 implicationsDecision makers could regularly examine the performance of their university/company by applying trace metrics and adjust their policies accordingly.Originality/valueTrace 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.

Comparative Study of Trace Metrics between Bibliometrics and Patentometrics

Department of Library and Information Science

Department of Mechanical Engineering and Institute of Industrial Engineering

Journal of Data and Information Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Comparative Study of Trace Metrics between Bibliometrics and Patentometrics"}

PurposeTo comprehensively evaluate the overall performance of a group or an individual in both bibliometrics and...

Comparative Study of Trace Metrics between Bibliometrics and Patentometrics

Article Category: Research Paper

Pubblicato online: 01 set 2017

Pagine: 13 - 31

Ricevuto: 20 feb 2016

Accettato: 12 mag 2016

DOI: https://doi.org/10.20309/jdis.201611

Parole chiave
Performance matrix, Trace metrics, -index, -core, I3, Bibliometrics, Patentometrics

© 2016 Fred Y. Ye, Mu-Hsuan Huang, Dar-Zen Chen

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Comparative Study of Trace Metrics between Bibliometrics and Patentometrics

Article Category: Research Paper

Pubblicato online: 01 set 2017

Pagine: 13 - 31

Ricevuto: 20 feb 2016

Accettato: 12 mag 2016

DOI: https://doi.org/10.20309/jdis.201611

Parole chiavePerformance matrix, Trace metrics, -index, -core, I3, Bibliometrics, Patentometrics

© 2016 Fred Y. Ye, Mu-Hsuan Huang, Dar-Zen Chen

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Parole chiave
Performance matrix, Trace metrics, -index, -core, I3, Bibliometrics, Patentometrics