Highly tweeted science articles: who tweets them? An analysis of Twitter user profile descriptions
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In this study we examined who tweeted academic articles that had at least one Finnish author or co-author affiliation and that had high altmetric counts on Twitter. In this investigation of national level altmetrics we chose the most tweeted scientific articles from four broad areas of science (Agricultural, Engineering and Technological Sciences; Medical and Health Sciences; Natural Sciences; Social Sciences and Humanities). By utilizing both quantitative and qualitative methods of analysis, we studied the data using research techniques such as keyword categorization, co-word analysis and content analysis of user profile descriptions. Our results show that contrary to a random sample of Twitter users, users who tweet academic articles describe themselves more factually and by emphasizing their occupational expertise rather than personal interests. The more field-specific the articles were, the more research-related descriptions dominated in Twitter profile descriptions. We also found that scientific articles were tweeted to promote ideological views especially in instances where the article represented a topic that divides general opinion.
KeywordsTwitter Twitter profile Altmetrics Scholarly communication
The authors would like to thank MSc. Jonne Lehtimäki for insightful comments on the article. This research was financed by The Finnish Ministry of Education and Culture’s Open Science and Research Initiative 2014–2017 (funding number: OKM/33/524/2015).
- Brigham, T. J. (2014). An introduction to altmetrics. Medical Reference Services Quarterly, 33(4), 438–47. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/25316077.
- Carstairs-McCarthy, A. (2002). An introduction to English morphology: Words and their structure. Edinburgh: Edinburgh University Press.Google Scholar
- Hadgu, A. T., & Jäschke, R. (2014). Identifying and analyzing researchers on twitter. In CEUR Workshop Proceedings (Vol. 1226, pp. 164–165). doi: 10.1145/2615569.2615676.
- Holmberg, K. (2014). The meaning of altmetrics. IATUL annual conference proceedings, (Vol. 35, pp. 1–11). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=llf&AN=97787073&site=ehost-live.
- ICSU (International Council for Science). (2005). ICSU strategic review of science and society: Rights and responsibilities.Google Scholar
- Ke, Q., Ahn, Y.-Y., & Sugimoto, C. R. (2016). A systematic identification and analysis of scientists on Twitter. Digital Libraries; Physics and Society. Retrieved from http://arxiv.org/abs/1608.06229.
- Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Newbury Park, CA: Sage Publications.Google Scholar
- Mislove, A., Lehmann, S., Ahn, Y., Onnela, J., & Rosenquist, J. N. (2011). Understanding the demographics of Twitter Users. Artificial Intelligence, 554–557. Retrieved from http://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/viewFile/2816/3234.
- Neiger, B. L., Thackeray, R., Burton, S. H., Giraud-Carrier, C. G., & Fagen, M. C. (2013). Evaluating social media’s capacity to develop engaged audiences in health promotion settings: Use of Twitter metrics as a case study. Health Promotion Practice, 14(2), 157–162. doi: 10.1177/1524839912469378.CrossRefGoogle Scholar
- Nelhans, G., & Gunnarsson Lorentzen, D. (2016). Twitter conversation patterns related to research papers. Information Research, 21(2). Retrieved from http://www.informationr.net/ir/21-2/SM2.html.
- Patton, M. Q. (2002). Qualitative research and evaluation methods. Qualitative Inquiry (Vol. 3rd). doi: 10.2307/330063.
- Priem, J., & Costello, K. L. (2010). How and why scholars cite on Twitter. In Proceedings of the ASIST Annual Meeting (Vol. 47). doi: 10.1002/meet.14504701201.
- Semertzidis, K., Pitoura, E., & Tsaparas, P. (2013). How people describe themselves on Twitter. In Proceedings of the ACM SIGMOD workshop on databases and social networks—DBSocial’ (Vols. 13, pp. 25–30). doi: 10.1145/2484702.2484708.
- Thelwall, M., Tsou, A., Weingart, S., Holmberg, K., & Haustein, S. (2013). Tweeting links to academic articles. Cybermetrics, 17(1), 1–8.Google Scholar
- Uddin, M. M., Imran, M., & Sajjad, H. (2014). Understanding types of users on Twitter. arXiv Preprint, 6. Retrieved from http://arxiv.org/abs/1406.1335.