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Do altmetrics assess societal impact in a comparable way to case studies? An empirical test of the convergent validity of altmetrics based on data from the UK research excellence framework (REF)

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  • Bornmann, Lutz
  • Haunschild, Robin
  • Adams, Jonathan

Abstract

Altmetrics have been proposed as a way to assess the societal impact of research. Although altmetrics are already in use as impact or attention metrics in different contexts, it is still not clear whether they really capture or reflect societal impact. This study is based on altmetrics, citation counts, research output and case study data from the UK Research Excellence Framework (REF), and peers’ REF assessments of research output and societal impact. We investigated the convergent validity of altmetrics by using two REF datasets: publications submitted as research output (PRO) to the REF and publications referenced in case studies (PCS). Case studies, which are intended to demonstrate societal impact, should cite the most relevant research papers. We used the MHq’ indicator for assessing impact – an indicator which has been introduced for count data with many zeros. The results of the first part of the analysis show that news media as well as mentions on Facebook, in blogs, in Wikipedia, and in policy-related documents have higher MHq’ values for PCS than for PRO. Thus, the altmetric indicators seem to have convergent validity for these data. In the second part of the analysis, altmetrics have been correlated with REF reviewers’ average scores on PCS. The negative or close to zero correlations question the convergent validity of altmetrics in that context. We suggest that they may capture a different aspect of societal impact (which can be called unknown attention) to that seen by reviewers (who are interested in the causal link between research and action in society).

Suggested Citation

  • Bornmann, Lutz & Haunschild, Robin & Adams, Jonathan, 2019. "Do altmetrics assess societal impact in a comparable way to case studies? An empirical test of the convergent validity of altmetrics based on data from the UK research excellence framework (REF)," Journal of Informetrics, Elsevier, vol. 13(1), pages 325-340.
  • Handle: RePEc:eee:infome:v:13:y:2019:i:1:p:325-340
    DOI: 10.1016/j.joi.2019.01.008
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    1. Steven Wooding & Thed N Van Leeuwen & Sarah Parks & Shitij Kapur & Jonathan Grant, 2015. "UK Doubles Its “World-Leading” Research in Life Sciences and Medicine in Six Years: Testing the Claim?," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-10, July.
    2. Houqiang Yu, 2017. "Context of altmetrics data matters: an investigation of count type and user category," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 267-283, April.
    3. Robin Haunschild & Lutz Bornmann, 2018. "Field- and time-normalization of data with many zeros: an empirical analysis using citation and Twitter data," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 997-1012, August.
    4. Mansfield, Edwin, 1991. "Academic research and industrial innovation," Research Policy, Elsevier, vol. 20(1), pages 1-12, February.
    5. Zvi Griliches, 1998. "Productivity, R&D, and Basic Research at the Firm Level in the 1970s," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 82-99, National Bureau of Economic Research, Inc.
    6. Lutz Bornmann, 2013. "What is societal impact of research and how can it be assessed? a literature survey," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 217-233, February.
    7. Antonio Eleazar Serrano-López & Peter Ingwersen & Elias Sanz-Casado, 2017. "Wind power research in Wikipedia: Does Wikipedia demonstrate direct influence of research publications and can it be used as adequate source in research evaluation?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1471-1488, September.
    8. Christian Gumpenberger & Wolfgang Glänzel & Juan Gorraiz, 2016. "The ecstasy and the agony of the altmetric score," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 977-982, August.
    9. Cassidy R. Sugimoto & Sam Work & Vincent Larivière & Stefanie Haustein, 2017. "Scholarly use of social media and altmetrics: A review of the literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2037-2062, September.
    10. Stefanie Haustein & Isabella Peters & Judit Bar-Ilan & Jason Priem & Hadas Shema & Jens Terliesner, 2014. "Coverage and adoption of altmetrics sources in the bibliometric community," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1145-1163, November.
    11. Zohreh Zahedi & Rodrigo Costas & Paul Wouters, 2014. "How well developed are altmetrics? A cross-disciplinary analysis of the presence of ‘alternative metrics’ in scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1491-1513, November.
    12. Stefanie Haustein & Isabella Peters & Cassidy R. Sugimoto & Mike Thelwall & Vincent Larivière, 2014. "Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 656-669, April.
    13. Gabrielle N. Samuel & Gemma E. Derrick, 2015. "Societal impact evaluation: Exploring evaluator perceptions of the characterization of impact under the REF2014," Research Evaluation, Oxford University Press, vol. 24(3), pages 229-241.
    14. Lutz Bornmann & Robin Haunschild & Werner Marx, 2016. "Policy documents as sources for measuring societal impact: how often is climate change research mentioned in policy-related documents?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1477-1495, December.
    15. Henk F. Moed & Gali Halevi, 2015. "Multidimensional assessment of scholarly research impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 1988-2002, October.
    16. Jean Lebel & Robert McLean, 2018. "A better measure of research from the global south," Nature, Nature, vol. 559(7712), pages 23-26, July.
    17. Bornmann, Lutz & Haunschild, Robin, 2018. "Normalization of zero-inflated data: An empirical analysis of a new indicator family and its use with altmetrics data," Journal of Informetrics, Elsevier, vol. 12(3), pages 998-1011.
    18. Hanan Khazragui & John Hudson, 2015. "Measuring the benefits of university research: impact and the REF in the UK," Research Evaluation, Oxford University Press, vol. 24(1), pages 51-62.
    19. Emma Terämä & Melanie Smallman & Simon J Lock & Charlotte Johnson & Martin Zaltz Austwick, 2016. "Beyond Academia – Interrogating Research Impact in the Research Excellence Framework," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-18, December.
    20. Robin Haunschild & Lutz Bornmann, 2017. "How many scientific papers are mentioned in policy-related documents? An empirical investigation using Web of Science and Altmetric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1209-1216, March.
    21. Bornmann, Lutz, 2014. "Validity of altmetrics data for measuring societal impact: A study using data from Altmetric and F1000Prime," Journal of Informetrics, Elsevier, vol. 8(4), pages 935-950.
    22. Stefanie Ringelhan & Jutta Wollersheim & Isabell M Welpe, 2015. "I Like, I Cite? Do Facebook Likes Predict the Impact of Scientific Work?," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-21, August.
    23. Kayvan Kousha & Mike Thelwall, 2017. "Are wikipedia citations important evidence of the impact of scholarly articles and books?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(3), pages 762-779, March.
    24. Lutz Bornmann & Robin Haunschild, 2017. "Measuring field-normalized impact of papers on specific societal groups: An altmetrics study based on Mendeley Data," Research Evaluation, Oxford University Press, vol. 26(3), pages 230-241.
    25. Rons, Nadine, 2012. "Partition-based Field Normalization: An approach to highly specialized publication records," Journal of Informetrics, Elsevier, vol. 6(1), pages 1-10.
    26. Mojisola Erdt & Aarthy Nagarajan & Sei-Ching Joanna Sin & Yin-Leng Theng, 2016. "Altmetrics: an analysis of the state-of-the-art in measuring research impact on social media," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1117-1166, November.
    27. Sarah Bell & Ben Shaw & Annette Boaz, 2011. "Real-world approaches to assessing the impact of environmental research on policy," Research Evaluation, Oxford University Press, vol. 20(3), pages 227-237, September.
    28. Claire Donovan, 2011. "State of the art in assessing research impact: introduction to a special issue," Research Evaluation, Oxford University Press, vol. 20(3), pages 175-179, September.
    29. Lutz Bornmann, 2014. "Is there currently a scientific revolution in Scientometrics?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(3), pages 647-648, March.
    30. Ehsan Mohammadi & Mike Thelwall, 2014. "Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(8), pages 1627-1638, August.
    31. Hadas Shema & Judit Bar-Ilan & Mike Thelwall, 2014. "Do blog citations correlate with a higher number of future citations? Research blogs as a potential source for alternative metrics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(5), pages 1018-1027, May.
    32. Lutz Bornmann, 2015. "Alternative metrics in scientometrics: a meta-analysis of research into three altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1123-1144, June.
    33. Amalia Mas-Bleda & Mike Thelwall, 2016. "Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2007-2030, December.
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