Abstract
The article published on January 3 in 2017 is well-written and of interest, but remains several questions that are required for clarifications, such as the production of ten clusters of 11,359 journals based on 2015 data using VOSviewer for classification and visualization. After viewing the detailed information about the data in Fig. 1, we are interested in producing the similar Figure on a dashboard with a video MP4 provided to readers who can click on the link to manipulate the scenarios on their own. We found that the process of making diagram of social network analysis on Google Maps using the MS Excel VBA codes. The individual-/cluster-type relations of journals are easily examined on Google Maps.
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All data used in this study are available in Reference.
References
Chien, T. W. (2020a). Code, data, and results for this article. 2020/12/27 available at https://youtu.be/mZJ0YlR43E4
Chien, T. W. (2020b). Journals shown on a dashboard. 2020/12/28 available at http://www.healthup.org.tw/gps/scientometricsci2015.htm
Kuo, S. C., Yeh, Y. T., Kan, W. C., & Chien, T. W. (2020). The use of bootstrapping method to compare research achievements for ophthalmology authors in the US since 2010. Scientometrics. https://doi.org/10.1007/s11192-020-03725-w
Leydesdorff, L., Bornmann, L., & Wagner, C. S. (2017). Generating clustered journal maps: An automated system for hierarchical classification. Scientometrics., 110(3), 1601–1614. https://doi.org/10.1007/s11192-016-2226-5
Wong, D. (2018). VOSviewer. Technical Services Quarterly, 35(2), 219–220.
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SC developed the study concept and design. WC analyzed and interpreted the data.SC monitored the process of this study and helped in responding to the reviewers’ advice and comments. TWC drafted the manuscript, and all authors provided critical revisions for important intellectual content. The study was supervised by TWC. All authors read and approved the final manuscript.
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Kuo, SC., Chien, TW. & Chou, W. Questions to the article: Generating clustered journal maps: an automated system for hierarchical classification. Scientometrics 128, 2615–2617 (2023). https://doi.org/10.1007/s11192-021-04086-8
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DOI: https://doi.org/10.1007/s11192-021-04086-8