EconPapers    
Economics at your fingertips  
 

Why highly cited articles are not highly tweeted? A biology case

Liwei Zhang and Jue Wang ()
Additional contact information
Liwei Zhang: Dalian University of Technology
Jue Wang: Nanyang Technological University

Scientometrics, 2018, vol. 117, issue 1, 495-509

Abstract: Abstract Altmetrics is an emerging topic that has generated much interest. Most of the studies, however, have focused on the comparison of altemetric indicators with traditional citation metrics and few have explored the factors influencing altmetric performance. This study investigates the dissemination pattern of scientific articles on social medial, and is particularly focused on highly tweeted articles and highly cited articles. Based on bibliometric and altmetric data collected for over 40,000 articles in the field of biology, we found that the timing of tweets and the type of Twitter accounts affect the amount of attention that a scientific publication receives on social media. Articles with a large number of tweets tend to be the ones receiving immediate social media exposure and are often tweeted by journal associated organization accounts or other individual accounts with a large number of followers. By contrast, highly cited articles in general are neither tweeted timely nor promoted by their respective journal accounts.

Keywords: Publication; Citation; Tweet; Twitter users; Timing of tweet (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1007/s11192-018-2876-6 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:117:y:2018:i:1:d:10.1007_s11192-018-2876-6

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

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 ().

 
Page updated 2019-11-06
Handle: RePEc:spr:scient:v:117:y:2018:i:1:d:10.1007_s11192-018-2876-6