Abstract
Citation analysis needs an in-depth transformation. Current systems have been long criticized due to defects such as lack of coverage and low accuracy of the citation data. Surprisingly, incorrect or incomplete data are used to make important decisions about researchers’ careers. We argue that a new approach based on the collection of citation data when they are actually generated (that is, during the edition of papers) can overcome current limitations, and propose a new framework in which the research community as a whole is the owner as well as beneficiary of a Global Citation Registry characterized by high quality citation data. The registry will be accessible for all the interested parties and will be the source over which the different impact models can be applied.
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Canós, J.H., Llavador, M., Mena, E., Borges, M.R.S. (2008). A Service-Oriented Infrastructure for Early Citation Management. In: Christensen-Dalsgaard, B., Castelli, D., Ammitzbøll Jurik, B., Lippincott, J. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2008. Lecture Notes in Computer Science, vol 5173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87599-4_17
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DOI: https://doi.org/10.1007/978-3-540-87599-4_17
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