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    A comparison of sources of links for academic Web impact factor calculations

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    Authors
    Thelwall, Mike cc
    Issue Date
    2002
    
    Metadata
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    Abstract
    There has been much recent interest in extracting information from collections of Web links. One tool that has been used is Ingwersen¿s Web impact factor. It has been demonstrated that several versions of this metric can produce results that correlate with research ratings of British universities showing that, despite being a measure of a purely Internet phenomenon, the results are susceptible to a wider interpretation. This paper addresses the question of which is the best possible domain to count backlinks from, if research is the focus of interest. WIFs for British universities calculated from several different source domains are compared, primarily the .edu, .ac.uk and .uk domains, and the entire Web. The results show that all four areas produce WIFs that correlate strongly with research ratings, but that none produce incontestably superior figures. It was also found that the WIF was less able to differentiate in more homogeneous subsets of universities, although positive results are still possible.
    Citation
    Thelwall, M. (2002), "A comparison of sources of links for academic Web impact factor calculations", Journal of Documentation, Vol. 58 No. 1, pp. 66-78.
    Publisher
    MCB UP Ltd
    Journal
    Journal of Documentation
    URI
    http://hdl.handle.net/2436/3140
    DOI
    10.1108/00220410210425412
    Additional Links
    http://www.emeraldinsight.com/10.1108/00220410210425412
    Type
    Journal article
    Language
    en
    Description
    This is an accepted manuscript of an article published by MCB UP Ltd in Journal of Documentation on 01/02/2002, available online: https://doi.org/10.1108/00220410210425412 The accepted version of the publication may differ from the final published version.
    ISSN
    0022-0418
    ae974a485f413a2113503eed53cd6c53
    10.1108/00220410210425412
    Scopus Count
    Collections
    Research Institute in Information and Language Processing

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