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    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

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    Taylor_Slow_slow_2023.pdf
    Embargo:
    2024-02-27
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    1.757Mb
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    Authors
    Taylor, Michael cc
    Issue Date
    2023-02-27
    
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    Abstract
    The study of temporal trends in altmetrics is under-developed, and this multi-year observation study addresses some of the deficits in our understanding of altmetric behaviour over time. The attention surrounding research outputs, as partially captured by altmetrics, or alternative metrics, constitutes many varied forms of data. Over the years 2008–2013, a set of 7739 papers were sampled on six occasions. Five altmetric data sources were recorded (Twitter, Mendeley, News, Blogs and Policy) and analysed for temporal trends, with particular attention being paid to their Open Access status and discipline. Twitter attention both starts and ends quickly. Mendeley readers accumulate quickly, and continue to grow over the following years. News and blog attention is quick to start, although news attention persists over a longer timeframe. Citations in policy documents are slow to start, and are observed to be growing over a decade after publication. Over time, growth in Twitter activity is confirmed, alongside an apparent decline in blogging attention. Mendeley usage is observed to grow, but shows signs of recent decline. Policy attention is identified as the slowest form of impact studied by altmetrics, and one that strongly favours the Humanities and Social Sciences. The Open Access Altmetrics Advantage is seen to emerge and evolve over time, with each attention source showing different trends. The existence of late-emergent attention in all attention sources is confirmed.
    Citation
    Taylor, M. (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. https://doi.org/10.1007/s11192-023-04653-1
    Publisher
    Springer
    Journal
    Scientometrics
    URI
    http://hdl.handle.net/2436/625095
    DOI
    10.1007/s11192-023-04653-1
    Additional Links
    https://link.springer.com/article/10.1007/s11192-023-04653-1
    Type
    Journal article
    Language
    en
    Description
    This is an accepted manuscript of an article published by Springer in Scientometrics on 27/02/2023, available online: https://doi.org/10.1007/s11192-023-04653-1 The accepted version of the publication may differ from the final published version. For reuse, please see the publisher's terms and conditions: https://www.springernature.com/gp/open-research/policies/journal-policies
    ae974a485f413a2113503eed53cd6c53
    10.1007/s11192-023-04653-1
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    Faculty of Science and Engineering

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