Abstract
Nowadays Twitter is used to disseminate scientific findings to the general public, and how often research articles are tweeted is a major metric in altmetrics. So it is important to understand tweet authors’ citation motivations and attitudes (or sentiments) towards the articles they cite. A content analysis approach was used to analyze 2,016 English tweets citing academic papers in the field of psychology. The results showed that most tweets (52.88%) cited articles to summarize the scientific findings of the studies. 11.81% of the tweets contained only the titles and URLs of the articles, and 19.05% of the tweets were retweets. Most tweeters held a neutral attitude towards the articles they tweeted, and only 5.15% showed negative feeling. In summary, most of the tweets do not convey in-depth critical discussion of academic papers, but they provide good access to some interesting research findings.
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References
Alternative Metrics Initiative: Phase 1 White Paper. National Information Standards Organization (NISO). http://www.niso.org/apps/group_public/download.php/13809/Altmetrics_project_phase1_white_paper.pdf
Sud, P., Thelwall, M.: Evaluating altmetrics. Scientometrics 98(2), 1131–1143 (2014). doi:10.1007/s11192-013-1117-2
Galligan, F., Dyas-Correia, S.: Altmetrics: Rethinking the Way We Measure. Serials Review 39(1), 56–61 (2013). doi:10.1016/j.serrev.2013.01.003
Thelwall, M., Haustein, S., Larivière, V., Sugimoto, C.R.: Do Altmetrics Work? Twitter and Ten Other Social Web Services. PLoS ONE 8(5), 1–7 (2013). doi:10.1371/journal.pone.0064841
Howard, J.: Scholars Seek Better Ways to Track Impact Online (2012). http://chronicle.com/article/As-Scholarship-Goes-Digital/130482/
Mahrt, M., Weller, K., Peters, I.: Twitter in scholarly communication. In: Weller, K., Bruns, A., Burgess, J., Mahrt, M., Puschmann, C. (eds.) Twitter and Society. Digital Formations, vol. 89, pp. 399–410. Peter Lang, New York (2014)
Eysenbach, G.: Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. Journal of Medical Internet Research 13(4) (2011). doi:10.2196/jmir.2012
Weller, K., Droge, E., Puschmann, C.: Citation analysis in twitter: approaches for defining and measuring information flows within tweets during scientific conferences. In: Making Sense of Microposts Workship, Crete, Greece (2011)
Veletsianos, G.: Higher education scholars’ participation and practices on Twitter. Journal of Computer Assisted Learning 28(4), 336–349 (2012)
Ebner, M., Schiefner, M.: Microblogging−more than fun? In: Arnedillo-Sanchez, I., Isaias, P. (eds.) IADIS Mobile Learning Conference, pp. 155–159. Algarve, Portugal (2008)
Holmberg, K., Thelwall, M.: Disciplinary differences in Twitter scholarly communication. Scientometrics 101(2), 1027–1042 (2014)
Priem, J., Costello, K.L.: How and why scholars cite on twitter. In: Conference on ASIST, October 22–27, 2010, Pittsburgh, PA, USA (2010)
Thelwall, M., Tsou, A., Weingart, S., Holmberg, K., Haustein, S.: Tweeting Links to Academic Articles. International Journal of Scientometrics, Informetrics and Bibliometrics 17(1) (2013)
Haustein, S., Costas, R., Larivière, V.: Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns. PLOS ONE 10(3), 1–21 (2015). doi:10.1371/journal.pone.0120495
Shema, H., Bar-llan, J., Thelwall, M.: How Is Research Blogged? A Content Analysis Approach. Journal of the Association for Information Science and Technology 66(6), 1136–1149 (2015)
Sloan, L., Morgan, J., Burnap, P., Williams, M.: Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data. PLOS ONE 10(3), 1–20 (2015). doi:10.1371/journal.pone.0115545
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Na, JC. (2015). User Motivations for Tweeting Research Articles: A Content Analysis Approach. In: Allen, R., Hunter, J., Zeng, M. (eds) Digital Libraries: Providing Quality Information. ICADL 2015. Lecture Notes in Computer Science(), vol 9469. Springer, Cham. https://doi.org/10.1007/978-3-319-27974-9_20
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DOI: https://doi.org/10.1007/978-3-319-27974-9_20
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