Second-order Citations in Altmetrics: A Case Study Analyzing the Audiences of COVID-19 Research in the News and on Social Media

Author:

Alperin Juan PabloORCID,Fleerackers AliceORCID,Riedlinger MichelleORCID,Haustein StefanieORCID

Abstract

AbstractThe potential to capture the societal impact of research has been a driving motivation for the use and development of altmetrics. Yet, to date, altmetrics have largely failed to deliver on this potential because the primary audience who cites research on social media has been shown to be academics themselves. In response, our study investigates an extension of traditional altmetric approaches that goes beyond capturing direct mentions of research on social media. Using research articles from the first months of the COVID-19 pandemic as a case study, we demonstrate the value of measuring ‘second-order citations,’ or social media mentions of news coverage of research. We find that a sample of these citations, published by just five media outlets, were shared and engaged with on social media twice as much as the research articles themselves. Moreover, first-order and second-order citations circulated among Twitter accounts and Facebook accounts that were largely distinct from each other. The differences in audiences and engagement patterns found in this case study highlight the importance of news coverage as a public source of science information and provide strong evidence that investigating these second-order citations can be an effective way of observing non-academic audiences that engage with research content.

Publisher

Cold Spring Harbor Laboratory

Reference57 articles.

1. Alperin, J. P. (2023a). Data on first- and second-Order citations for sample of COVID-19 research [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/OEKB01

2. Alperin, J. P. (2023b). ScholCommLab/second-order-citations: Initial Release (Version initial). Zenodo. https://doi.org/10.5281/ZENODO.7803153

3. Identifying diffusion patterns of research articles on Twitter: A case study of online engagement with open access articles;Public Understanding of Science,2019

4. Issue Selection in Science Journalism: Towards a Special Theory of News Values for Science News?

5. Bornmann, L. (2016). Scientific Revolution in Scientometrics: The Broadening of Impact from Citation to Societal: In Scientific Revolution in Scientometrics: The Broadening of Impact from Citation to Societal (pp. 347–359). De Gruyter Saur. https://doi.org/10.1515/9783110308464-020

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