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        Altmetrics for Digital Libraries

        Concepts, Applications, Evaluation, and Recommendations

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        Author(s)
        Nuredini, Kaltrina
        Collection
        Knowledge Unlatched (KU); KU Open Services
        Language
        English
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        Abstract
        The volume of scientific literature is increasing and researchers have difficulties in estimating their quality and relevance. Library portals, therefore, are getting more relevant by using quality indicators to help researchers during their research process. With the growing presence of social media, altmetrics have been proposed as complementary indicators to traditional measures. Altmetrics can help to identify online attention and can appear much faster than citations. This study explores altmetrics for filtering relevant articles (in library portals) within the discipline of Economic and Business Studies literature. Firstly, it highlights the altmetrics presence from Mendeley and Altmetric.com for the journals in the above-mentioned disciplines. It presents correlations between citation and altmetrics on article and journal level, suggesting Mendeley counts as an alternative indicator to citations. Afterward, it investigates the use of altmetrics data for potential users with interests in new trends, social media platforms, and journal rankings. Lastly, it explores the behavior of economic researchers using a survey by discovering the usefulness of different altmetrics. With the findings of this study, several forms of altmetrics in library portals are discussed, using EconBiz as the proof-of-concept, to assist both researchers and libraries to identify relevant journals or articles and to cope with the information overload.
        URI
        https://library.oapen.org/handle/20.500.12657/52504
        Keywords
        Computers; Computer Science
        DOI
        https://doi.org/10.30819/5309
        ISBN
        9783832553098, 9783832553098
        Publisher
        Logos Verlag Berlin
        Publisher website
        https://www.logos-verlag.com/
        Publication date and place
        2021
        Imprint
        Logos Verlag Berlin
        Classification
        Computer science
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
        • Harvested from KU

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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