Exploring prestigious citations sourced from top universities in bibliometrics and altmetrics: a case study in the computer science discipline

Feiheng Luo (), Aixin Sun (), Mojisola Erdt (), Aravind Sesagiri Raamkumar () and Yin-Leng Theng ()
Additional contact information
Feiheng Luo: Nanyang Technological University
Aixin Sun: Nanyang Technological University
Mojisola Erdt: Nanyang Technological University
Aravind Sesagiri Raamkumar: Nanyang Technological University
Yin-Leng Theng: Nanyang Technological University

Scientometrics, 2018, vol. 114, issue 1, No 1, 17 pages

Abstract: 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.

Keywords: Citation analysis; University rankings; H-index; Journal impact factor; Altmetrics (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-017-2571-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:114:y:2018:i:1:d:10.1007_s11192-017-2571-z

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-017-2571-z

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().