Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/86515
Title: Exploring prestigious citations sourced from top universities in bibliometrics and altmetrics: a case study in the computer science discipline
Authors: Luo, Feiheng
Sun, Aixin
Erdt, Mojisola
Sesagiri Raamkumar, Aravind
Theng, Yin-Leng
Keywords: Citation analysis
University rankings
Issue Date: 2017
Source: Luo, F., Sun, A., Erdt, M., Sesagiri Raamkumar, A., & Theng, Y.-L. Exploring prestigious citations sourced from top universities in bibliometrics and altmetrics: a case study in the computer science discipline. Scientometrics, in press.
Series/Report no.: Scientometrics
Abstract: Citation count is an important indicator for measuring research outputs. There have been numerous studies that have investigated factors affecting citation counts from the perspectives of cited papers and citing papers. In this paper, we focused specifically on citing papers and explored citations sourced from prestigious affiliations in the computer science discipline. The QS World University Rankings was employed to identify prestigious citations, named QS citations. We used the Microsoft Academic Graph, a massive scholarly dataset, and conducted different kinds of analysis between papers with QS citations and those without QS citations. We discovered that papers with QS citations are generally associated with higher total citation counts than those without QS citations. We extended the analysis to authors and journals, and the results indicated that when authors or journals have higher proportions of papers with QS citations, they are usually associated with higher values of the H-index or the Journal Impact Factor respectively. Additionally, papers with QS citations are also associated with a higher Altmetric Attention Score and a higher number of specific types of altmetrics such as tweet counts.
URI: https://hdl.handle.net/10356/86515
http://hdl.handle.net/10220/44073
ISSN: 0138-9130
DOI: 10.1007/s11192-017-2571-z
Rights: © 2017 Akadémiai Kiadó. This is the author created version of a work that has been peer reviewed and accepted for publication by Scientometrics, Akadémiai Kiadó. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1007/s11192-017-2571-z].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles
WKWSCI Journal Articles

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