Abstract
Altmetrics are indicators that have been proposed as alternatives to citation counts for academic publication impact assessment. Altmetrics may be valued for their speed or ability to reflect the non-scholarly or societal impacts of research. Evidence supports these claims for some altmetrics but many are limited in coverage (the proportion of outputs that have non-zero values) or ability to reflect societal impact. This article describes data sources for altmetrics, indicator formulae, and strategies for applying them for different tasks. It encompasses traditional altmetrics as well webometric and usage indicators.
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References
Priem, J., Taraborelli, D., Groth, P., Neylon, C.: Altmetrics: a manifesto (2010). http://altmetrics.org/manifesto/
Holmberg, K.: Altmetrics for Information Professionals Past, Present and Future. Chandos, Oxford (2015)
Vaughan, L., Hysen, K.: Relationship between links to journal Web sites and impact factors. Aslib Proc. 54(6), 356–361 (2002)
Thelwall, M., Kousha, K.: Web indicators for research evaluation, Part 1: citations and links to academic articles from the web. El Profesional de la Información 24(5), 587–606 (2015). https://doi.org/10.3145/epi.2015.sep.08
Kousha, K., Thelwall, M.: Are Wikipedia citations important evidence of the impact of scholarly articles and books? J. Assoc. Inf. Sci. Technol. 68(3), 762–779 (2017). https://doi.org/10.1002/asi.23694
Kousha, K., Thelwall, M.: Web indicators for research evaluation, Part 3: books and non-standard outputs. El Profesional de la Información 24(6), 724–736 (2015)
Sugimoto, C.R., Work, S., Larivière, V., Haustein, S.: Scholarly use of social media and altmetrics: a review of the literature. J. Assoc. Inf. Sci. Technol. 68(9), 2037–2062 (2017)
Wilsdon, J., Allen, L., Belfiore, E., Campbell, P., Curry, S.: The Metric Tide: Independent Review of the Role of Metrics in Research Assessment and Management. HEFCE, London (2015)
Haustein, S., Siebenlist, T.: Applying social bookmarking data to evaluate journal usage. J. Informetr. 5, 446–457 (2011)
Piwowar, H., Priem, J.: The power of altmetrics on a CV. Bull. Assoc. Inf. Sci. Technol. 39(4), 10–13 (2013)
Merton, R.K.: The Sociology of Science: Theoretical and Empirical Investigations. University of Chicago Press, Chicago (1973)
Krampen, G., Becker, R., Wahner, U., Montada, L.: On the validity of citation counting in science evaluation: content analyses of references and citations in psychological publications. Scientometrics 71(2), 191–202 (2007)
Campbell, F.M.: National bias: a comparison of citation practices by health professionals. Bull. Med. Libr. Assoc. 78(4), 376 (1990)
Pasterkamp, G., Rotmans, J., de Kleijn, D., Borst, C.: Citation frequency: a biased measure of research impact significantly influenced by the geographical origin of research articles. Scientometrics 70(1), 153–165 (2007)
Seglen, P.O.: Citation rates and journal impact factors are not suitable for evaluation of research. Acta Orthopaedica Scandinavica 69(3), 224–229 (1998)
Althouse, B.M., West, J.D., Bergstrom, C.T., Bergstrom, T.: Differences in impact factor across fields and over time. J. Assoc. Inf. Sci. Technol. 60(1), 27–34 (2009)
van Driel, M.L., Maier, M., Maeseneer, J.D.: Measuring the impact of family medicine research: scientific citations or societal impact? Fam. Pract. 24(5), 401–402 (2007)
Glänzel, W., Schubert, A.: A new classification scheme of science fields and subfields designed for scientometric evaluation purposes. Scientometrics 56(3), 357–367 (2003)
Dinsmore, A., Allen, L., Dolby, K.: Alternative perspectives on impact: the potential of ALMs and altmetrics to inform funders about research impact. PLoS Biol. 12(11), e1002003 (2014)
Fenner, M.: What can article-level metrics do for you? PLoS Biol. 11(10), e1001687 (2013)
Maggio, L.A., Meyer, H.S., Artino, A.R.: Beyond citation rates: a real-time impact analysis of health professions education research using altmetrics. Acad. Med. 92(10), 1449–1455 (2017)
Colquhoun, D., Plested, A.: Why you should ignore altmetrics and other bibliometric nightmares (2014). http://www.dcscience.net/2014/01/16/why-you-should-ignore-altmetrics-and-other-bibliometric-nightmares/
Livas, C., Delli, K.: Looking beyond traditional metrics in orthodontics: an altmetric study on the most discussed articles on the web. Eur. J. Orthod. (2017). https://doi.org/10.1093/ejo/cjx050
Mas-Bleda, A., Thelwall, M.: Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research. Scientometrics 109(3), 2007–2030 (2016)
Ravenscroft, J., Liakata, M., Clare, A., Duma, D.: Measuring scientific impact beyond academia: an assessment of existing impact metrics and proposed improvements. PLoS ONE 12(3), e0173152 (2017)
Wouters, P., Costas, R.: Users, narcissism and control: tracking the impact of scholarly publications in the 21st century. In: Science and Technology Indicators 2012 (STI 2012), pp. 847–857. SURF Foundation, Utrecht (2012)
NISO: Outputs of the NISO Alternative Assessment Metrics Project (2016). http://www.niso.org/apps/group_public/download.php/17091/NISO%20RP-25-2016%20Outputs%20of%20the%20NISO%20Alternative%20Assessment%20Project.pdf
Wilsdon, J., Bar-Ilan, J., Frodeman, R., Lex, E., Peters, I., Wouters, P.: Next-generation metrics: responsible metrics and evaluation for open science (2017). https://ec.europa.eu/research/openscience/index.cfm?pg=altmetrics_eg
Robinson-García, N., Torres-Salinas, D., Zahedi, Z., Costas, R.: New data, new possibilities: exploring the insides of Altmetric.com. El Profesional de La Información 23(4), 359–366 (2014)
Waltman, L., van Eck, N.J., van Leeuwen, T.N., Visser, M.S., van Raan, A.F.: Towards a new crown indicator: an empirical analysis. Scientometrics 87(3), 467–481 (2011)
Thelwall, M.: Three practical field normalised alternative indicator formulae for research evaluation. J. Informetr. 11(1), 128–151 (2017). https://doi.org/10.1016/j.joi.2016.12.002
Haustein, S., Larivière, V., Thelwall, M., Amyot, D., Peters, I.: Tweets vs. Mendeley readers: how do these two social media metrics differ? IT Inf. Technol. 56(5), 207–215 (2014)
Erdt, M., Nagarajan, A., Sin, S.C.J., Theng, Y.L.: Altmetrics: an analysis of the state-of-the-art in measuring research impact on social media. Scientometrics 109(2), 1117–1166 (2016)
Thelwall, M., Sud, P.: Mendeley readership counts: an investigation of temporal and disciplinary differences. J. Assoc. Inf. Sci. Technol. 57(6), 3036–3050 (2016). https://doi.org/10.1002/asi.2355
Borrego, A., Fry, J.: Measuring researchers’ use of scholarly information through social bookmarking data: a case study of BibSonomy. J. Inf. Sci. 38(3), 297–308 (2012)
Costas, R., Zahedi, Z., Wouters, P.: Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. J. Assoc. Inf. Sci. Technol. 66(10), 2003–2019 (2015)
Thelwall, M., Haustein, S., Larivière, V., Sugimoto, C.: Do altmetrics work? Twitter and ten other candidates. PLoS ONE 8(5), e64841 (2013). https://doi.org/10.1371/journal.pone.0064841
Thelwall, M., Kousha, K.: Online presentations as a source of scientific impact? An analysis of PowerPoint files citing academic journals. J. Am. Soc. Inf. Sci. Technol. 59(5), 805–815 (2008)
Thelwall, M., Kousha, K.: SlideShare presentations, citations, users and trends: a professional site with academic and educational uses. J. Assoc. Inf. Sci. Technol. 68(8), 1989–2003 (2017)
Kousha, K., Thelwall, M.: Patent citation analysis with Google. J. Assoc. Inf. Sci. Technol. 68(1), 48–61 (2017)
Shema, H., Bar-Ilan, J., Thelwall, M.: Do blog citations correlate with a higher number of future citations? Research blogs as a potential source for alternative metrics. J. Am. Soc. Inf. Sci. Technol. 65(5), 1018–1027 (2014)
Thelwall, M., Kousha, K., Abdoli, M.: Is medical research informing professional practice more highly cited? Evidence from AHFS DI Essentials in Drugs.com. Scientometrics 112(1), 509–527 (2017)
Thelwall, M., Maflahi, N.: Guideline references and academic citations as evidence of the clinical value of health research. J. Assoc. Inf. Sci. Technol. 67(4), 960–966 (2016)
Haustein, S., Bowman, T.D., Holmberg, K., Tsou, A., Sugimoto, C.R., Larivière, V.: Tweets as impact indicators: examining the implications of automated “bot” accounts on Twitter. J. Assoc. Inf. Sci. Technol. 67(1), 232–238 (2016)
Sud, P., Thelwall, M.: Evaluating altmetrics. Scientometrics 98(2), 1131–1143 (2014)
Thelwall, M.: Interpreting correlations between citation counts and other indicators. Scientometrics 108(1), 337–347 (2016). https://doi.org/10.1007/s11192-016-1973-7
Thelwall, M.: Are Mendeley reader counts useful impact indicators in all fields? Scientometrics 113(3), 1721–1731 (2017). https://doi.org/10.1007/s11192-017-2557-x
HEFCE: The Metric Tide: Correlation Analysis of REF2014 Scores and Metrics (Supplementary Report II to the Independent Review of the Role of Metrics in Research Assessment and Management) (2015). http://www.hefce.ac.uk/pubs/rereports/Year/2015/metrictide/Title,104463,en.html
Halevi, G., Moed, H.F.: Usage patterns of scientific journals and their relationship with citations. In: Context Counts: Pathways to Master Big and Little Data, pp. 241–251 (2014)
Mohammadi, E., Thelwall, M., Kousha, K.: Can Mendeley bookmarks reflect readership? A survey of user motivations. J. Assoc. Inf. Sci. Technol. 67(5), 1198–1209 (2016). https://doi.org/10.1002/asi.23477
Mohammadi, E., Thelwall, M., Haustein, S., Larivière, V.: Who reads research articles? An altmetrics analysis of Mendeley user categories. J. Assoc. Inf. Sci. Technol. 66(9), 1832–1846 (2015)
Thelwall, M.: Why do papers have many Mendeley readers but few Scopus-indexed citations and vice versa? J. Librariansh. Inf. Sci. 49(2), 144–151 (2017). https://doi.org/10.1177/0961000615594867
Thelwall, M., Tsou, A., Weingart, S., Holmberg, K., Haustein, S.: Tweeting links to academic articles. Cybermetrics 17(1) (2013). http://cybermetrics.cindoc.csic.es/articles/v17i1p1.html
Tsou, A., Bowman, T.D., Ghazinejad, A., Sugimoto, C.R.: Who tweets about science? In: Proceedings of ISSI 2015 - 15th International Conference of the International Society for Scientometrics and Informetricspp, pp. 95–100. Boğaziçi University Printhouse, Istanbul (2015)
Shema, H., Bar-Ilan, J., Thelwall, M.: How is research blogged? A content analysis approach. J. Assoc. Inf. Sci. Technol. 66(6), 1136–1149 (2015). https://doi.org/10.1002/asi.23239
Schloegl, C., Gorraiz, J.: Comparison of citation and usage indicators: the case of oncology journals. Scientometrics 82(3), 567–580 (2010)
Moed, H.F.: Statistical relationships between downloads and citations at the level of individual documents within a single journal. J. Assoc. Inf. Sci. Technol. 56(10), 1088–1097 (2005)
Wilkinson, D., Sud, P., Thelwall, M.: Substance without citation: evaluating the online impact of grey literature. Scientometrics 98(2), 797–806 (2014)
Moed, H.F., Halevi, G.: On full text download and citation distributions in scientific-scholarly journals. J. Assoc. Inf. Sci. Technol. 67(2), 412–431 (2016)
Kudlow, P., Cockerill, M., Toccalino, D., Dziadyk, D.B., Rutledge, A., Shachak, A., Eysenbach, G.: Online distribution channel increases article usage on Mendeley: a randomized controlled trial. Scientometrics 112(3), 1537–1556 (2017)
Larivière, V., Archambault, É., Gingras, Y.: Long-term variations in the aging of scientific literature: from exponential growth to steady-state science (1900–2004). J. Assoc. Inf. Sci. Technol. 59(2), 288–296 (2008)
Maflahi, N., Thelwall, M.: How quickly do publications get read? The evolution of Mendeley reader counts for new articles. J. Assoc. Inf. Sci. Technol. 69(1), 158–167 (2018). https://doi.org/10.1002/asi.23909
Thelwall, M.: Are Mendeley reader counts high enough for research evaluations when articles are published? Aslib J. Inf. Manag. 69(2), 174–183 (2017). https://doi.org/10.1108/AJIM-01-2017-0028
Thelwall, M.: Early Mendeley readers correlate with later citation counts. Scientometrics (in press). https://doi.org/10.1007/s11192-018-2715-9
Eysenbach, G.: Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. J. Med. Internet Res. 13(4), e123 (2011)
Hicks, D., Wouters, P., Waltman, L., De Rijcke, S., Rafols, I.: The Leiden Manifesto for research metrics. Nature 520(7548), 429–431 (2015)
Kousha, K., Thelwall, M.: Assessing the impact of disciplinary research on teaching: an automatic analysis of online syllabuses. J. Am. Soc. Inform. Sci. Technol. 59(13), 2060–2069 (2008)
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Thelwall, M. (2018). Using Altmetrics to Support Research Evaluation. In: Erdt, M., Sesagiri Raamkumar, A., Rasmussen, E., Theng, YL. (eds) Altmetrics for Research Outputs Measurement and Scholarly Information Management. AROSIM 2018. Communications in Computer and Information Science, vol 856. Springer, Singapore. https://doi.org/10.1007/978-981-13-1053-9_2
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