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        Theories of Informetrics and Scholarly Communication

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        Contributor(s)
        Sugimoto, Cassidy (editor)
        Collection
        Knowledge Unlatched (KU); KU Select 2019: HSS Backlist Books
        Language
        English
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        Abstract
        Scientometrics have become an essential element in the practice and evaluation of science and research, including both the evaluation of individuals and national assessment exercises. Yet, researchers and practitioners in this field have lacked clear theories to guide their work. As early as 1981, then doctoral student Blaise Cronin published "The need for a theory of citing" —a call to arms for the fledgling scientometric community to produce foundational theories upon which the work of the field could be based. More than three decades later, the time has come to reach out the field again and ask how they have responded to this call. This book compiles the foundational theories that guide informetrics and scholarly communication research. It is a much needed compilation by leading scholars in the field that gathers together the theories that guide our understanding of authorship, citing, and impact.
        URI
        https://library.oapen.org/handle/20.500.12657/46038
        Keywords
        Language Arts & Disciplines; Library & Information Science; Technology & Engineering
        DOI
        https://doi.org/10.1515/9783110308464
        ISBN
        9783110308464
        Publisher
        De Gruyter
        Publisher website
        https://www.degruyter.com/
        Publication date and place
        2016
        Grantor
        • Knowledge Unlatched
        Imprint
        De Gruyter
        Classification
        Library and information services
        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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