The DOI matches its Crossref record.
How and why scholars cite on Twitter
Open accessAbstract
Scholars are increasingly using the microblogging service Twitter as a communication platform. Since citing is a central practice of scholarly communication, we investigated whether and how scholars cite on Twitter. We conducted interviews and harvested 46,515 tweets from a sample of 28 scholars and found that they do cite on Twitter, though often indirectly. Twitter citations are part of a fast‐moving conversation that participants believe reflects scholarly impact. Twitter citation metrics could augment traditional citation analysis, supporting a “scientometrics 2.0.”
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Citations
Cited by
Social Media Use in Medical Education: A Systematic Review
Cheston, C. C., Flickinger, T. E., & Chisolm, M. S. (2013) · Academic Medicine · doi:10.1097/acm.0b013e31828ffc23 · Cited by 638
Coverage and adoption of altmetrics sources in the bibliometric community
Haustein, S., Peters, I., Bar-Ilan, J., Priem, J., Shema, H., & Terliesner, J. (2014) · Scientometrics · doi:10.1007/s11192-013-1221-3 · Cited by 264
Self-citationTweets as impact indicators: Examining the implications of automated “bot” accounts on Twitter
Haustein, S., Bowman, T. D., Holmberg, K., Tsou, A., Sugimoto, C. R., & Larivière, V. (2016) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23456 · Cited by 231
Alternative metrics in scientometrics: a meta-analysis of research into three altmetrics
Bornmann, L. (2015) · Scientometrics · doi:10.1007/s11192-015-1565-y · Cited by 202
A systematic identification and analysis of scientists on Twitter
Ke, Q., Ahn, Y.-Y., & Sugimoto, C. R. (2017) · PLOS ONE · doi:10.1371/journal.pone.0175368 · Cited by 175
Revisiting the Scientometric Conceptualization of Impact and Its Measurement
Abramo, G. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.05.001 · Cited by 80
Ten simple rules for getting started on Twitter as a scientist.
Cheplygina, V., Hermans, F., Albers, C., Bielczyk, N., & Smeets, I. (2020) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1007513 · Cited by 62
Highly tweeted science articles: who tweets them? An analysis of Twitter user profile descriptions
Vainio, J., & Holmberg, K. (2017) · Scientometrics · doi:10.1007/s11192-017-2368-0 · Cited by 63
Metadata
- Authors
- Priem, J., & Costello, K. L.
- Venue
- Proceedings of the American Society for Information Science and Technology
- Publisher
- Wiley
- Published
- 2010-11
- Volume
- 47
- Issue
- 1
- Pages
- 1-4
- ISSN
- 0044-7870 (ISSN-L)
- 1550-8390
- OpenAlex
- W2041540760
- Cited by
- 253
- References
- 0
- FWCI
- 16.54
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
