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The life cycle of altmetric impact: A longitudinal study of six metrics from PlumX

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  • Ortega, José Luis

Abstract

The main objective of this study is to describe the life cycle of altmetric and bibliometric indicators in a sample of publications. Altmetrics (Downloads, Views, Readers, Tweets, and Blog mentions) and bibliometric counts (Citations) (in this study, the indicators will be capitalized to differentiate them from the general language) of 5185 publications (19,186 observations) were extracted from PlumX to observe their distribution according to the publication age. Correlations between these metrics were calculated from month to month to observe the evolution of these relationships. The results showed that mention metrics (Tweets and Blog mentions) are the earliest metrics that become available most quickly and have the shortest life cycle. Next, Readers are the metrics with the highest prevalence and with the second fastest growth. Views and Downloads show a continuous growth, being the indicators with the longest life cycles. Finally, Citations are the slowest indicators and have a low prevalence. Correlations show a strong relationship between mention metrics and Readers and Downloads, and between Readers and Citations. These results enable us to create a schematic diagram of the relationships between these metrics from a longitudinal view.

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  • Ortega, José Luis, 2018. "The life cycle of altmetric impact: A longitudinal study of six metrics from PlumX," Journal of Informetrics, Elsevier, vol. 12(3), pages 579-589.
  • Handle: RePEc:eee:infome:v:12:y:2018:i:3:p:579-589
    DOI: 10.1016/j.joi.2018.06.001
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    References listed on IDEAS

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    1. José Luis Ortega, 2016. "To be or not to be on Twitter, and its relationship with the tweeting and citation of research papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1353-1364, November.
    2. Henk F. Moed, 2005. "Statistical relationships between downloads and citations at the level of individual documents within a single journal," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(10), pages 1088-1097, August.
    3. Pooladian, Aida & Borrego, Ángel, 2016. "A longitudinal study of the bookmarking of library and information science literature in Mendeley," Journal of Informetrics, Elsevier, vol. 10(4), pages 1135-1142.
    4. Mike Thelwall & Pardeep Sud, 2016. "Mendeley readership counts: An investigation of temporal and disciplinary differences," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(12), pages 3036-3050, December.
    5. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
    6. 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.
    7. 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.
    8. Nabeil Maflahi & Mike Thelwall, 2016. "When are readership counts as useful as citation counts? Scopus versus Mendeley for LIS journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 191-199, January.
    9. Christian Schlögl & Juan Gorraiz & Christian Gumpenberger & Kris Jack & Peter Kraker, 2014. "Comparison of downloads, citations and readership data for two information systems journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1113-1128, November.
    10. J. C. F. Winter, 2015. "The relationship between tweets, citations, and article views for PLOS ONE articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1773-1779, February.
    11. Mike Thelwall, 2016. "Interpreting correlations between citation counts and other indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 337-347, July.
    12. 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.
    13. 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.
    14. Haunschild, Robin & Bornmann, Lutz, 2016. "Normalization of Mendeley reader counts for impact assessment," Journal of Informetrics, Elsevier, vol. 10(1), pages 62-73.
    15. Ortega, José Luis, 2015. "Relationship between altmetric and bibliometric indicators across academic social sites: The case of CSIC's members," Journal of Informetrics, Elsevier, vol. 9(1), pages 39-49.
    16. Tim Brody & Stevan Harnad & Leslie Carr, 2006. "Earlier Web usage statistics as predictors of later citation impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(8), pages 1060-1072, June.
    17. Ehsan Mohammadi & Mike Thelwall & Stefanie Haustein & Vincent Larivière, 2015. "Who reads research articles? An altmetrics analysis of Mendeley user categories," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1832-1846, September.
    18. Rodrigo Costas & Zohreh Zahedi & Paul Wouters, 2015. "Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2003-2019, October.
    19. Xin Shuai & Alberto Pepe & Johan Bollen, 2012. "How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-8, November.
    20. Bornmann, Lutz, 2014. "Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics," Journal of Informetrics, Elsevier, vol. 8(4), pages 895-903.
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    Citations

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    Cited by:

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    2. Qianjin Zong & Yafen Xie & Rongchan Tuo & Jingshi Huang & Yang Yang, 2019. "The impact of video abstract on citation counts: evidence from a retrospective cohort study of New Journal of Physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1715-1727, June.
    3. Zhichao Fang & Rodrigo Costas, 2020. "Studying the accumulation velocity of altmetric data tracked by Altmetric.com," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1077-1101, May.
    4. Sergio Copiello, 2020. "Other than detecting impact in advance, alternative metrics could act as early warning signs of retractions: tentative findings of a study into the papers retracted by PLoS ONE," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2449-2469, December.
    5. Daniela De Filippo & Fernanda Morillo & Borja González-Albo, 2023. "Measuring the Impact and Influence of Scientific Activity in the Humanities and Social Sciences," Publications, MDPI, vol. 11(2), pages 1-17, June.
    6. Michael Taylor, 2023. "Slow, slow, quick, quick, slow: five altmetric sources observed over a decade show evolving trends, by research age, attention source maturity and open access status," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2175-2200, April.
    7. Zhou, Qingqing & Zhang, Chengzhi, 2021. "Breaking community boundary: Comparing academic and social communication preferences regarding global pandemics," Journal of Informetrics, Elsevier, vol. 15(3).
    8. Nguyen, Ai Linh & Liu, Wenyuan & Khor, Khiam Aik & Nanetti, Andrea & Cheong, Siew Ann, 2020. "The golden eras of graphene science and technology: Bibliographic evidences from journal and patent publications," Journal of Informetrics, Elsevier, vol. 14(4).
    9. Jane Cho, 2021. "Altmetrics analysis of highly cited academic papers in the field of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7623-7635, September.
    10. Brito, Ana C.M. & Silva, Filipi N. & de Arruda, Henrique F. & Comin, Cesar H. & Amancio, Diego R. & Costa, Luciano da F., 2021. "Classification of abrupt changes along viewing profiles of scientific articles," Journal of Informetrics, Elsevier, vol. 15(2).
    11. Mousumi Karmakar & Sumit Kumar Banshal & Vivek Kumar Singh, 2021. "A large-scale comparison of coverage and mentions captured by the two altmetric aggregators: Altmetric.com and PlumX," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4465-4489, May.

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