EconPapers    
Economics at your fingertips  
 

WeChat uptake of chinese scholarly journals: an analysis of CSSCI-indexed journals

Ting Cong (), Zhichao Fang () and Rodrigo Costas ()
Additional contact information
Ting Cong: University of Shanghai for Science & Technology
Zhichao Fang: Leiden University
Rodrigo Costas: Leiden University

Scientometrics, 2022, vol. 127, issue 12, No 15, 7110 pages

Abstract: Abstract The study of how science is discussed and how scholarly actors interact on social media has increasingly become popular in the field of scientometrics in recent years. While most prior studies focused on research outputs discussed on global platforms, such as Twitter or Facebook, the presence of scholarly journals on local platforms was seldom studied, especially in the Chinese social media context. To fill this gap, this study investigates the uptake of WeChat (a Chinese social network app) by the Chinese scholarly journals indexed by the Chinese Social Sciences Citation Index (CSSCI). The results show that 65.3% of CSSCI-indexed journals have created WeChat public accounts and posted over 193 thousand WeChat posts in total. At the journal level, bibliometric indicators (e.g., citations, downloads, and journal impact factors) and WeChat indicators (e.g., clicks, likes, replies, and recommendations) are weakly correlated with each other, reinforcing the idea of fundamentally differentiated dimensions of indicators between bibliometrics and social media metrics. Results also show that journals with WeChat public accounts slightly outperform those without WeChat public accounts in terms of citation impact, suggesting that the WeChat presence of scientific journals is mostly positively associated with their citation impact.

Keywords: Altmetrics; Social media metrics; WeChat; Scholarly journals; Chinese social sciences citation index (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-022-04347-0 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:127:y:2022:i:12:d:10.1007_s11192-022-04347-0

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

DOI: 10.1007/s11192-022-04347-0

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 ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:127:y:2022:i:12:d:10.1007_s11192-022-04347-0