The DOI matches its Crossref record; 42 of the 48 references it cites were found in a registry or an index.
Do Altmetrics Work? Twitter and Ten Other Social Web Services
Open accessAbstract
Altmetric measurements derived from the social web are increasingly advocated and used as early indicators of article impact and usefulness. Nevertheless, there is a lack of systematic scientific evidence that altmetrics are valid proxies of either impact or utility although a few case studies have reported medium correlations between specific altmetrics and citation rates for individual journals or fields. To fill this gap, this study compares 11 altmetrics with Web of Science citations for 76 to 208,739 PubMed articles with at least one altmetric mention in each case and up to 1,891 journals per metric. It also introduces a simple sign test to overcome biases caused by different citation and usage windows. Statistically significant associations were found between higher metric scores and higher citations for articles with positive altmetric scores in all cases with sufficient evidence (Twitter, Facebook wall posts, research highlights, blogs, mainstream media and forums) except perhaps for Google+ posts. Evidence was insufficient for LinkedIn, Pinterest, question and answer sites, and Reddit, and no conclusions should be drawn about articles with zero altmetric scores or the strength of any correlation between altmetrics and citations. Nevertheless, comparisons between citations and metric values for articles published at different times, even within the same year, can remove or reverse this association and so publishers and scientometricians should consider the effect of time when using altmetrics to rank articles. Finally, the coverage of all the altmetrics except for Twitter seems to be low and so it is not clear if they are prevalent enough to be useful in practice.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“A 12-month timeframe was deemed appropriate to provide an accurate indication of Altmetric attention score and citations considering there appears to be a quick uptake of attention-based indicators after publication (Thelwall et al., 2013), and that short-term citation counts are highly correlated with long-term citation counts in peer-reviewed research (Liu et al., 2015).”
From Graphical abstracts are associated with greater Altmetric attention scores, but not citations, in sport science (2023) · cites this paper as Thelwall et al., 2013
In the citing paper
“The WoS and Scopus platforms also provide researchers with usage counts for publications, enabling researchers to analyze the usage data and to explore usage patterns (Wang et al., 2016, Thelwall et al., 2013).”
From Core Elements in the Process of Citing Publications: Conceptual Overview of the Literature (2018) · cites this paper as Thelwall et al., 2013
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,421
Eysenbach, G. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.2012 · Cited by 1,088
Meho, L. I., & Yang, K. (2007) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20677 · Cited by 974
What is societal impact of research and how can it be assessed? a literature survey
Bornmann, L. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22803 · Cited by 732
Earlier Web usage statistics as predictors of later citation impact
Brody, T., Harnad, S. R., & Carr, L. A. (2006) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20373 · Cited by 403
Scientometrics 2.0: New metrics of scholarly impact on the social Web
Priem, J. R., & Hemminger, B. H. (2010) · First Monday · doi:10.5210/fm.v15i7.2874 · Cited by 382
Altmetrics in the wild: Using social media to explore scholarly impactPreprint
Priem, J. R., Piwowar, H., & Hemminger, B. M. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1203.4745 · Cited by 360
Shuai, X., Pepe, A., & Bollen, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047523 · Cited by 327
The weakening relationship between the impact factor and papers' citations in the digital age
Lozano, G. A., Larivière, V., & Gingras, Y. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22731 · Cited by 293
Self-citation
Flagged first, then by citations
6 of the 48 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Haustein S (2012) Readership metrics. In: Cronin B, Sugimoto C, editors. Beyond Bibliometrics: Harnessing Multi-dimensional Indicators of Performance. Cambridge, MA: MIT Press, in press.
- Bar-Ilan J (2012a) JASIST@mendeley. Presented at the ACM Web Science Conference Workshop on Altmetrics Evanston, IL. Available: http://altmetricsorg/altmetrics12/bar-ilan. Accessed 21 January 2013.
Cited by
Sorted by citations
Science Mapping: A Systematic Review of the Literature
Chen, C. (2017) · Journal of Data and Information Science · doi:10.1515/jdis-2017-0006 · Cited by 2,134
Bibliometrics: methods for studying academic publishing
Ninkov, A., Frank, J. R., & Maggio, L. A. (2021) · Perspectives on Medical Education · doi:10.1007/s40037-021-00695-4 · Cited by 1,048
Costas, R., Zahedi, Z., & Wouters, P. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23309 · Cited by 711
Bornmann, L. (2014) · Journal of Informetrics · doi:10.1016/j.joi.2014.09.005 · Cited by 578
Scholarly use of social media and altmetrics: A review of the literature
Sugimoto, C. R., Work, S., Larivière, V., & Haustein, S. (2017) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23833 · Cited by 680
Self-citationGetting the Word Out: New Approaches for Disseminating Public Health Science
Brownson, R. C., Eyler, A. A., Harris, J. K., Moore, J. B., & Tabak, R. G. (2017) · Journal of Public Health Management and Practice · doi:10.1097/phh.0000000000000673 · Cited by 450
Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature
Haustein, S., Peters, I., Sugimoto, C. R., Thelwall, M. A., & Larivière, V. (2013) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23101 · Cited by 434
Self-citationOECD (2015) · OECD science, technology and industry policy papers · doi:10.1787/5jrs2f963zs1-en · Cited by 522
Zahedi, Z., Costas, R., & Wouters, P. F. (2014) · Scientometrics · doi:10.1007/s11192-014-1264-0 · Cited by 386
Hou, J., Yang, X., & Chen, C. (2018) · Scientometrics · doi:10.1007/s11192-018-2695-9 · Cited by 385
Haustein, S., Costas, R., & Larivière, V. (2015) · PLoS ONE · doi:10.1371/journal.pone.0120495 · Cited by 371
Self-citationExploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis
Mejía, C., Wu, M., Zhang, Y., & Kajikawa, Y. (2021) · Frontiers in Research Metrics and Analytics · doi:10.3389/frma.2021.742311 · Cited by 378
Dimensions: A competitor to Scopus and the Web of Science?
Thelwall, M. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.03.006 · Cited by 294
Self-citationDisciplinary differences in Twitter scholarly communication
Holmberg, K., & Thelwall, M. A. (2014) · Scientometrics · doi:10.1007/s11192-014-1229-3 · Cited by 289
Self-citationA survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Antonakaki, D., Fragopoulou, P., & Ioannidis, S. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.114006 · Cited by 290
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-citationThe Open Access Advantage Considering Citation, Article Usage and Social Media Attention
Wang, X., Liu, C., Mao, W., & Fang, Z. (2015) · Scientometrics · doi:10.1007/s11192-015-1547-0 · Cited by 259
R esearch G ate: Disseminating, communicating, and measuring Scholarship?
Thelwall, M. A., & Kousha, K. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23236 · Cited by 257
Self-citationSud, P., & Thelwall, M. A. (2013) · Scientometrics · doi:10.1007/s11192-013-1117-2 · Cited by 276
Self-citationThe Altmetric Score: A New Measure for Article-Level Dissemination and Impact
Trueger, N. S., Thoma, B., Hsu, C. H., Sullivan, D., Peters, L., & Lin, M. (2015) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2015.04.022 · Cited by 240
Tracking the popularity and outcomes of all bioRxiv preprints
Abdill, R. J., & Blekhman, R. (2019) · eLife · doi:10.7554/elife.45133 · Cited by 196
A cademia.edu: Social network or A cademic Network?
Thelwall, M. A., & Kousha, K. (2013) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23038 · Cited by 237
Self-citationDoes Tweeting Improve Citations? One-Year Results From the TSSMN Prospective Randomized Trial
Luc, J. G. Y., Archer, M. A., Arora, R. C., Bender, E. M., Blitz, A., Cooke, D. T., Hlci, T. N., Kidane, B., Ouzounian, M., Varghese, T. K., et al. (2020) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2020.04.065 · Cited by 211
Shema, H., Bar‐Ilan, J., & Thelwall, M. A. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23037 · Cited by 209
Self-citationRavenscroft, J., Liakata, M., Clare, A., & Duma, D. (2017) · PLOS ONE · doi:10.1371/journal.pone.0173152 · Cited by 202
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
Who reads research articles? An altmetrics analysis of M endeley user categories
Mohammadi, E., Thelwall, M. A., Haustein, S., & Larivière, V. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23286 · Cited by 196
Self-citationAltmetrics: an analysis of the state-of-the-art in measuring research impact on social media
Erdt, M., Nagarajan, A., Sin, S. J., & Theng, Y. (2016) · Scientometrics · doi:10.1007/s11192-016-2077-0 · Cited by 219
Scientists on Twitter: Preaching to the choir or singing from the rooftops?
Côté, I. M., & Darling, E. S. (2018) · FACETS · doi:10.1139/facets-2018-0002 · Cited by 195
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
Self-citationAcademic information on Twitter: A user survey
Mohammadi, E., Thelwall, M. A., Kwasny, M., & Holmes, K. (2018) · PLoS ONE · doi:10.1371/journal.pone.0197265 · Cited by 177
Self-citationVeletsianos, G., & Kimmons, R. M. (2016) · The Internet and Higher Education · doi:10.1016/j.iheduc.2016.02.002 · Cited by 175
Peer review: still king in the digital age
NICHOLAS, D., WATKINSON, A., JAMALI, H. R., HERMAN, E., TENOPIR, C., VOLENTINE, R., ALLARD, S., & LEVINE, K. (2015) · Learned Publishing · doi:10.1087/20150104 · Cited by 242
Measuring Science: Basic Principles and Application of Advanced Bibliometrics
van Raan, A. F. J. (2019) · Springer handbooks · doi:10.1007/978-3-030-02511-3_10 · Cited by 174
Tweets vs. Mendeley readers: How do these two social media metrics differ?
Haustein, S., Larivière, V., Thelwall, M. A., Amyot, D., & Peters, I. (2014) · it - Information Technology · doi:10.1515/itit-2014-1048 · Cited by 160
Self-citationTwitter Predicts Citation Rates of Ecological Research
Peoples, B. K., Midway, S. R., Sackett, D. K., Lynch, A. J., & Cooney, P. B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0166570 · Cited by 158
Klar, S., Krupnikov, Y., Ryan, J. B., Searles, K., & Shmargad, Y. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229446 · Cited by 157
Research data explored: an extended analysis of citations and altmetrics
Peters, I., Kraker, P., Lex, E., Gumpenberger, C., & Gorraiz, J. I. (2016) · Scientometrics · doi:10.1007/s11192-016-1887-4 · Cited by 188
Warren, H. R., Raison, N. T. J., & Prokar Dasgupta, A. (2017) · JAMA · doi:10.1001/jama.2016.18346 · Cited by 157
Ortega, J. L. (2014) · Journal of Informetrics · doi:10.1016/j.joi.2014.11.004 · Cited by 155
Do highly cited researchers successfully use the social web?
Más-Bleda, A., Thelwall, M. A., Kousha, K., & Aguillo, I. F. (2014) · Scientometrics · doi:10.1007/s11192-014-1345-0 · Cited by 144
Self-citationCore Elements in the Process of Citing Publications: Conceptual Overview of the Literature
Tahamtan, I., & Bornmann, L. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.01.002 · Cited by 149
The relationship between tweets, citations, and article views for PLOS ONE articles
de Winter, J. (2014) · Scientometrics · doi:10.1007/s11192-014-1445-x · Cited by 147
New data, new possibilities: exploring the insides of Altmetric.com
Robinson‐García, N., Torres‐Salinas, D., Zahedi, Z., & Costas, R. (2014) · El Profesional de la Informacion · doi:10.3145/epi.2014.jul.03 · Cited by 144
Regression for citation data: An evaluation of different methods
Thelwall, M. A., & Wilson, P. (2014) · Journal of Informetrics · doi:10.1016/j.joi.2014.09.011 · Cited by 142
Self-citationThe Social Media Index: Measuring the Impact of Emergency Medicine and Critical Care Websites
Thoma, B., Sanders, J. L., Lin, M., Paterson, Q. S., Steeg, J., & Chan, T. M. (2015) · Western Journal of Emergency Medicine · doi:10.5811/westjem.2015.1.24860 · Cited by 125
Spezi, V., Wakeling, S., Pinfield, S., Creaser, C., Fry, J., & Willett, P. (2017) · Journal of Documentation · doi:10.1108/jd-06-2016-0082 · Cited by 149
Ortega, J. L. (2018) · Scientometrics · doi:10.1007/s11192-018-2838-z · Cited by 137
Disciplinary differences in the use of academic social networking sites
Ortega, J. L. (2015) · Online Information Review · doi:10.1108/oir-03-2015-0093 · Cited by 135
The distorted mirror of Wikipedia: a quantitative analysis of Wikipedia coverage of academics
Samoilenko, A., & Yasseri, T. (2014) · EPJ Data Science · doi:10.1140/epjds20 · Cited by 134
Abramo, G., D’Angelo, C. A., & Felici, G. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.11.003 · Cited by 134
An Analysis of Altmetrics in Emergency Medicine
Barbic, D., Tubman, M., Lam, H., & Barbic, S. P. (2016) · Academic Emergency Medicine · doi:10.1111/acem.12898 · Cited by 131
A Randomized Trial of Social Media From Circulation
Fox, C. S., Bonaca, M. A., Ryan, J. J., Massaro, J. M., Barry, K., & Loscalzo, J. (2014) · Circulation · doi:10.1161/circulationaha.114.013509 · Cited by 130
The unbearable emptiness of tweeting—About journal articles
Robinson‐García, N., Costas, R., Isett, K. R., Melkers, J. E., & Hicks, D. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0183551 · Cited by 141
SciSciNet: A large-scale open data lake for the science of science research
Lin, Z., Yin, Y., Liu, L., & Wang, D. (2023) · Scientific Data · doi:10.1038/s41597-023-02198-9 · Cited by 165
When are readership counts as useful as citation counts? S copus versus M endeley for LIS journals
Maflahi, N., & Thelwall, M. A. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23369 · Cited by 128
Self-citationM endeley readership altmetrics for medical articles: An analysis of 45 fields
Thelwall, M. A., & Wilson, P. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23501 · Cited by 127
Self-citationDinsmore, A., Allen, L., & Dolby, K. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1002003 · Cited by 127
Regression for citation data: An evaluation of different methods
Thelwall, M. A., & Wilson, P. (2014) · RePEc: Research Papers in Economics · Cited by 127
Self-citationCould scientists use Altmetric.com scores to predict longer term citation counts?
Thelwall, M. A., & Nevill, T. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.01.008 · Cited by 124
Self-citationPublic use and public funding of science
Yin, Y., Dong, Y., Wang, K., Wang, D., & Jones, B. F. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01397-5 · Cited by 123
A correlation comparison between Altmetric Attention Scores and citations for six PLOS journals
Huang, W., Wang, P., & Wu, Q. (2018) · PLoS ONE · doi:10.1371/journal.pone.0194962 · Cited by 122
Jeng, W., He, D., & Jiang, J. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23225 · Cited by 121
Can M endeley bookmarks reflect readership? A survey of user motivations
Mohammadi, E., Thelwall, M. A., & Kousha, K. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23477 · Cited by 119
Self-citationRosenkrantz, A. B., Ayoola, A., Singh, K., & Duszak, R. (2017) · Academic Radiology · doi:10.1016/j.acra.2016.11.019 · Cited by 117
The Use of Social Media to Increase the Impact of Health Research: Systematic Review
Bardus, M., Rassi, R. E., Chahrour, M. A., Akl, E. W., Raslan, A. S., Meho, L. I., & Akl, E. A. (2020) · Journal of Medical Internet Research · doi:10.2196/15607 · Cited by 113
Early Mendeley readers correlate with later citation counts
Thelwall, M. (2018) · Scientometrics · doi:10.1007/s11192-018-2715-9 · Cited by 113
Self-citationOverton: A bibliometric database of policy document citations
Szomszor, M., & Adie, E. A. (2022) · Quantitative Science Studies · doi:10.1162/qss_a_00204 · Cited by 132
NLP-driven citation analysis for scientometrics
Jha, R. K., JBARA, A.-A., Qazvinian, V., & Radev, D. (2016) · Natural Language Engineering · doi:10.1017/s1351324915000443 · Cited by 117
Lay summaries needed to enhance science communication
Kuehne, L. M., & Olden, J. D. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1500882112 · Cited by 104
Kousha, K., & Thelwall, M. A. (2020) · Quantitative Science Studies · doi:10.1162/qss_a_00066 · Cited by 103
Self-citationDíaz‐Faes, A. A., Bowman, T. D., & Costas, R. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216408 · Cited by 119
Ortega, J. L. (2017) · Aslib Journal of Information Management · doi:10.1108/ajim-02-2017-0055 · Cited by 98
Bibliometrics and systematic reviews: A comparison between the Proknow-C and the Methodi Ordinatio
de Carvalho, G. D. G., Sokulski, C. C., da Silva, W. V., de Carvalho, H. G., de Moura, R. V., de Francisco, A. C., & da Veiga, C. P. (2020) · Journal of Informetrics · doi:10.1016/j.joi.2020.101043 · Cited by 122
Virtual Laboratories- A historical review and bibliometric analysis of the past three decades
Raghu Raman, R., Achuthan, K., Nair, V. K., & Nedungadi, P. (2022) · Education and Information Technologies · doi:10.1007/s10639-022-11058-9 · Cited by 128
Wang, J., Alotaibi, N. M., Ibrahim, G. M., Kulkarni, A. V., & Lozano, A. M. (2017) · World Neurosurgery · doi:10.1016/j.wneu.2017.04.157 · Cited by 97
A critical review on altmetrics: can we measure the social impact factor?
Villar, C. G. (2021) · Insights into Imaging · doi:10.1186/s13244-021-01033-2 · Cited by 93
From the hive: Honey, a novel weapon against cancer
Badolato, M., Carullo, G., Cione, E., Aiello, F., & Caroleo, M. C. (2017) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2017.07.064 · Cited by 91
Criteria for social media-based scholarship in health professions education
Sherbino, J., Arora, V. M., Melle, E. V., Rogers, R., Frank, J. R., & Holmboe, E. S. (2015) · Postgraduate Medical Journal · doi:10.1136/postgradmedj-2015-133300 · Cited by 87
Are scholarly articles disproportionately read in their own country? An analysis of mendeley readers
Thelwall, M. A., & Maflahi, N. (2014) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23252 · Cited by 88
Self-citationA Bibliometric Overview of Twitter-Related Studies Indexed in Web of Science
Yu, J., & Muñoz-Justícia, J. (2020) · Future Internet · doi:10.3390/fi12050091 · Cited by 105
Hassan, S.-U., Imran, M., Gillani, U., Aljohani, N. R., Bowman, T. D., & Didegah, F. (2017) · Scientometrics · doi:10.1007/s11192-017-2512-x · Cited by 100
Social Media Metrics for New Research Evaluation
Wouters, P. F., Zahedi, Z., & Costas, R. (2019) · Springer handbooks · doi:10.1007/978-3-030-02511-3_26 · Cited by 90
Bibliographic Analysis of Nature Based on Twitter and Facebook Altmetrics Data
Xia, F., Su, X., Wang, W. W., Zhang, C., Ning, Z., & Lee, I. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165997 · Cited by 82
Fang, Z., Costas, R., Tian, W., Wang, X., & Wouters, P. (2020) · Scientometrics · doi:10.1007/s11192-020-03564-9 · Cited by 82
Connolly, S. L., Hogan, T. P., Shimada, S. L., & Miller, C. J. (2020) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-020-00165-4 · Cited by 78
If I tweet will you cite? The effect of social media exposure of articles on downloads and citations
Tonia, T., Oyen, H. J. V., Berger, A., Schindler, C. J. A., & Künzli, N. (2016) · International Journal of Public Health · doi:10.1007/s00038-016-0831-y · Cited by 82
The Current Use of Social Media in Neurosurgery
Alotaibi, N. M., Badhiwala, J. H., Nassiri, F., Guha, D., Ibrahim, G. M., Shamji, M. F., & Lozano, A. M. (2015) · World Neurosurgery · doi:10.1016/j.wneu.2015.11.011 · Cited by 81
Medical research productivity in the Arab countries: 2007-2016 bibliometric analysis
Rassi, R. E., Meho, L. I., Nahlawi, A., Salameh, J., Bazarbachi, A., & Akl, E. (2018) · Journal of Global Health · doi:10.7189/jogh.08.020411 · Cited by 69
Pinfield, S. (2015) · Online Information Review · doi:10.1108/oir-05-2015-0167 · Cited by 81
Web indicators for research evaluation. Part 2: Social media metrics
Thelwall, M. A., & Kousha, K. (2015) · El Profesional de la Informacion · doi:10.3145/epi.2015.sep.09 · Cited by 78
Self-citationÖzkent, Y. (2022) · PLoS ONE · doi:10.1371/journal.pone.0263725 · Cited by 79
Comparing alternative and traditional dissemination metrics in medical education
Amath, A., Ambacher, K., Leddy, J. J., Wood, T. J., & Ramnanan, C. J. (2017) · Medical Education · doi:10.1111/medu.13359 · Cited by 79
The Use of Altmetrics as a Tool for Measuring Research Impact
Barnes, C. (2015) · Australian Academic & Research Libraries · doi:10.1080/00048623.2014.1003174 · Cited by 77
Tweeting Links to Academic Articles
Thelwall, M. A., Tsou, A., Weingart, S., Holmberg, K., & Haustein, S. (2013) · DIGITAL.CSIC (Spanish National Research Council (CSIC)) · Cited by 76
Self-citationThelwall, M. A., & Kousha, K. (2015) · El Profesional de la Informacion · doi:10.3145/epi.2015.sep.08 · Cited by 78
Self-citationAlperín, J. P., Gomez, C., & Haustein, S. (2018) · Public Understanding of Science · doi:10.1177/0963662518761733 · Cited by 76
Self-citationAssessing and tracing the outcomes and impact of research infrastructures
Mayernik, M. S., Hart, D. L., Maull, K. E., & Weber, N. (2016) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23721 · Cited by 81
Social Media and Peer-Reviewed Medical Journal Readership: A Randomized Prospective Controlled Trial
Hawkins, C. M., Hunter, M., Kolenic, G. E., & Carlos, R. C. (2017) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2016.12.024 · Cited by 75
M endeley readership counts: An investigation of temporal and disciplinary differences
Thelwall, M. A., & Sud, P. (2015) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23559 · Cited by 74
Self-citation
Metadata
- Authors
- Thelwall, M., Haustein, S., Larivière, V., & Sugimoto, C. R.
- Affiliations
- University of Wolverhampton (GB)
- Science-Metrix (Canada) (CA)
- Université du Québec à Montréal (CA)
- Indiana University Bloomington (US)
- Corresponding author
- Thelwall, Mike
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-05-28
- Volume
- 8
- Issue
- 5
- Pages
- e64841
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3665624
- OpenAlex
- W2073023209
- Cited by
- 907
- References
- 48
- Citations by year
- 2026: 29 · 2025: 36 · 2024: 48 · 2023: 42 · 2022: 61 · 2021: 82 · 2020: 89 · 2019: 75 · 2018: 103 · 2017: 101 · 2016: 73 · 2015: 85 · 2014: 68 · 2013: 15
- FWCI
- 88.64
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Papyrus : Institutional Repository (Université de Montréal) (submittedVersion, cc-by)
- Funders
- National Science Foundation (1208804)
- Joint Information Systems Committee
- Arts and Humanities Research Council
- Economic and Social Research Council
- Topics
- Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
- Keywords
- altmetrics, Twitter, social web services, article impact, citation analysis, PubMed articles, sign test, research highlights, mainstream media coverage
- MeSH terms
- Humans, Publishing, Bibliometrics, PubMed, Social Media
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review