Validating online reference managers for scholarly impact measurement
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This paper investigates whether CiteULike and Mendeley are useful for measuring scholarly influence, using a sample of 1,613 papers published in Nature and Science in 2007. Traditional citation counts from the Web of Science (WoS) were used as benchmarks to compare with the number of users who bookmarked the articles in one of the two free online reference manager sites. Statistically significant correlations were found between the user counts and the corresponding WoS citation counts, suggesting that this type of influence is related in some way to traditional citation-based scholarly impact but the number of users of these systems seems to be still too small for them to challenge traditional citation indexes.
KeywordsWebometrics Research evaluation Online reference managers Validation Research impact Research influence
An extended version of a paper presented at the 13th International Conference on Scientometrics and Informetrics, Durban (South Africa), 4–7 July 2011 (Li et al. 2011).
- Aguillo, I. (2011). Is Google Scholar useful for bibliometrics? A webometrics analysis. Proceedings of the ISSI 2011 Conference. Presented at the 13th International Conference of the International Society for Scientometrics & Informetrics (pp. 13–18), Durban, 4–7 July 2011.Google Scholar
- Belew, R. K. (2005). Scientific impact quantity and quality: Analysis of two sources of bibliographic data. Arxiv preprint cs/0504036.Google Scholar
- Burgelman, J., Osimo, D., & Bogdanowicz, M. (2010). Science 2.0 (change will happen…). First Monday, 15(7). Retrieved from http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/2961/2573.
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Mahwah: Lawrence Erlbaum.Google Scholar
- Cronin, B., Snyder, H. W., Rosenbaum, H., Martinson, A., & Callahan, E. (1998). Invoked on the web. Journal of the American Society for Information Science, 49(14), 1319–1328. doi: 10.1002/(SICI)10974571(1998)49:14<1319:AID-ASI9>3.0.CO;2-W.CrossRefGoogle Scholar
- Ginsparg, P. (2007). Next-generation implications of Open Access. CTWatch Quarterly, 2(3). Retrieved from http://www.ctwatch.org/quarterly/print.php?p=80.
- Groth, P., & Gurney, T. (2010). Studying scientific discourse on the Web using bibliometrics: A chemistry blogging case study—web science repository. Proceedings of the WebSci’10. Raleigh, NC. Retrieved April 26–27, 2010, from http://journal.webscience.org/308/.
- Henning, V. (2010). The top 10 journal articles published in 2009 by readership on Mendeley | Mendeley Blog. Retrieved August 8, 2010, from http://www.mendeley.com/blog/academic-features/the-top-10-journal-articles-published-in-2009-by-readership-on-mendeley/.
- Henning, V., & Reichelt, J. (2008). Mendeley—A Last.fm for research? In IEEE Fourth International Conference on eScience, 2008 (pp. 327–328).Google Scholar
- Jiang, J., He, D., & Ni, C. (2011). Social reference: Aggregating online usage of scientific literature in CiteULike for clustering academic resources. Proceeding of the 11th annual international ACM/IEEE joint conference on Digital libraries (pp. 401–402), Ottawa, Ontario, 13–17 June 2011.Google Scholar
- Li, X., Thelwall, M., & Giustini, D. (2011). Validating online reference managers for scholarly impact measurement. In E. Noyons, P. Ngulube & J. Leta (Eds.), Proceedings of ISSI 2011—The 13th International Conference on Scientometrics and Informetrics (pp. 454–462), Durban, 4–7 July 2011.Google Scholar
- Mendeley. (2010). Academic reference management software for researchers | Mendeley. Retrieved August 8, 2010, from http://www.mendeley.com/.
- Moed, H. F. (2005). Citation analysis in research evaluation. New York: Springer.Google Scholar
- PLoS ONE. (2009a). Article-level metrics. Retrieved July 20, 2010, from http://article-level-metrics.plos.org/.
- PLoS ONE. (2009b). New addition to article-level metrics—blog posts from ResearchBlogging.org | Public Library of Science. Retrieved July 20, 2010, from http://www.plos.org/cms/node/500.
- Priem, J., & Costello, K. L. (2010). How and why scholars cite on Twitter. Presented at the American Society for Information Science & Technology Annual Meeting, Pittsburgh, PA, 22–27 October 2010.Google Scholar
- Priem, J., & Hemminger, B. M. (2010). Scientometrics 2.0: Toward new metrics of scholarly impact on the social Web. First Monday, 15(7). Retrieved from http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/2874/2570.
- Priem, J., Taraborelli, D., Groth, P. & Neylon, C. (2010). Alt-metrics: A manifesto. Retrieved July 25, 2011, from http://altmetrics.org/manifesto/.
- Research Information Network. (2010). If you build it, will they come? How researchers perceive and use web 2.0 | Research Information Network. Retrieved August 6, 2010, from http://www.rin.ac.uk/our-work/communicating-and-disseminating-research/use-and-relevance-web-20-researchers.
- Shepherd, P. T. (2007). Final report on the investigation into the feasibility of developing and implementing journal usage factors. Retrieved January 2, 2011, from http://www.uksg.org/sites/uksg.org/files/FinalReportUsageFactorProject.pdf.
- Smith, A. G. (2011). Wikipedia and institutional repositories: An academic symbiosis? Proceedings of the ISSI 2011 Conference. Presented at the 13th International Conference of the International Society for Scientometrics & Informetrics (pp. 794–800), Durban, 4–7 July 2011.Google Scholar
- Taraborelli, D. (2008). Soft peer review: Social software and distributed scientific evaluation. In 8th International Conference on the Design of Cooperative Systems. Carry-le-Rouet: Institut d’Etudes Politiques d’Aix-en-Provence, Aix-en-Provence (pp. 99–110), France.Google Scholar
- Taraborelli, D. (2010). ReaderMeter: Research impact, crowdsourced. Retrieved July 28, 2011, from http://readermeter.org/.
- Ware, M., & Monkman, M. (2008). Peer review in scholarly journals: Perspective of the scholarly community-an international study. Publishing Research Consortium. Retrieved from .Google Scholar
- Weller, K., & Puschmann, C. (2011). Twitter for scientific communication: How can citations/references be identified and measured? Proceedings of the ACM WebSci’11 (pp. 1–4). Koblenz, Germany, 14–17 June 2011.Google Scholar