Twitter Mentions

What it is

A mention in a twitter post or retweet can be tracked for any scholarly output shared on twitter with an accompanying link to the text of the output.

Twitter mentions can be searched for directly at Twitter.com and through the Twitter API for recent Twitter activity; and are also tracked by metrics source providers Altmetric, PlumX, Impactstory, and Crossref Event Data for historical Twitter activity.

How it Works

Twitter mention counts are determined by the number of registered users that tweet or retweet a post that links to a trackable scholarly product. Depending on the metric data source, mentions may be parsed and presented in different ways. This information can include registered Twitter users’ activity, user demographic information, and user network information, such as follower counts and handles.

Contrary to popular belief, research outputs do not have to be tweeted using DOI links (e.g. https://doi.org/10.1038/s41590-017-0014-x) in order to be tracked by altmetrics services–nearly all services now are able to identify tweeted scholarly outputs in other ways.

Twitter citation counts and contextual demographic and network information can be used to identify the sharing of and reach of information about research on social media, especially within the first weeks of publication (1). Information about who is tweeting and the nature of the tweets is needed to demonstrate the kind and quality of engagement, such as uptake by a scientific audience or interest from a public audience (3).

The transparency of Twitter mentions depends on the source. Some sources are completely auditable in that you can see counts, read all tweets, and access user demographic and network information.

Twitter was launched in March 2006. Altmetric, PlumX, and Impactstory began tracking the service in earnest in 2011, meaning that a majority of Twitter data on those sites includes scholarly products created in 2011 and beyond.

What to Keep in Mind

Twitter citation counts should not be used as a direct measure for a specific kind of impact, such as public engagement.

Tweet counts can be gamed and there are differences in Twitter use to discuss research across disciplines. Like other metrics, a count of tweets does not reveal the kind of impact an article or other scholarly product had (2).

Learn more

Díaz-Faes, A. A., Bowman, T. D., & Costas, R. (2019). Towards a second generation of ‘social media metrics’: Characterizing Twitter communities of attention around science. PLOS ONE, 14(5), e0216408. https://doi.org/10.1371/journal.pone.0216408

Blog mentions

Wikipedia citations

References

  1. Priem, J., & Costello, K. L. (2010). How and why scholars cite on Twitter. Proceedings of the American Society for Information Science and Technology, 47(1), 1-4. http://dx.doi.org/10.1002/meet.14504701201
  2. Thelwall, M., Tsou, A., Weingart, S., Holmberg, K., & Haustein, S. (2013). Tweeting links to academic articles. Cybermetrics: International Journal of Scientometrics, Informetrics and Bibliometrics, (17), 1-8. Available at http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.6234
  3. Thelwall, M., & Kousha, K. (2015). Web indicators for research evaluation. Part 2: Social media metrics. Profesional de la Información, 24(5), 607-620. Available at http://profesionaldelainformacion.com/contenidos/2015/sep/09.html

Last updated April 2022