Identifying Diffusion Patterns of Research Articles on Twitter: A Case Study of Online Engagement with Open Access Articles

Peer reviewed: 
Yes, item is peer reviewed.
Scholarly level: 
Faculty/Staff
Final version published as: 

Alperin, J. P., Gomez, C. J., & Haustein, S. (2018). Identifying diffusion patterns of research articles on Twitter: A case study of online engagement with open access articles. Public Understanding of Science, 1-17.  https://doi.org/10.1177/0963662518761733

 

Date created: 
2018-04-02
Identifier: 
DOI: 10.1177/0963662518761733
Keywords: 
Altmetrics
Diffusion
Open Access
Public use of research
Science communication
Social media
Social network analysis
Twitter
Abstract: 

The growing presence of research shared on social media, coupled with the increase in freely available research, invites us to ask whether scientific articles shared on platforms like Twitter diffuse beyond the academic community. We explore a new method for answering this question by identifying 11 articles from two open access biology journals that were shared on Twitter at least 50 times and by analyzing the follower network of users who tweeted each article. We find that diffusion patterns of scientific articles can take very different forms, even when the number of times they are tweeted is similar. Our small case study suggests that most articles are shared within single-connected communities with limited diffusion to the public. The proposed approach and indicators can serve those interested in the public understanding of science, science communication, or research evaluation to identify when research diffuses beyond insular communities.

 

Language: 
English
Document type: 
Article
Rights: 
Rights remain with the authors.
File(s): 
Sponsor(s): 
Social Sciences and Humanities Research Council of Canada (SSHRC)
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