Document (#38523)

Author
Ding, Y.
Zhang, G.
Chambers, T.
Song, M.
Wang, X.
Zhai, C.
Title
Content-based citation analysis : the next generation of citation analysis
Source
Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1820-1833
Year
2014
Abstract
Traditional citation analysis has been widely applied to detect patterns of scientific collaboration, map the landscapes of scholarly disciplines, assess the impact of research outputs, and observe knowledge transfer across domains. It is, however, limited, as it assumes all citations are of similar value and weights each equally. Content-based citation analysis (CCA) addresses a citation's value by interpreting each one based on its context at both the syntactic and semantic levels. This paper provides a comprehensive overview of CAA research in terms of its theoretical foundations, methodical approaches, and example applications. In addition, we highlight how increased computational capabilities and publicly available full-text resources have opened this area of research to vast possibilities, which enable deeper citation analysis, more accurate citation prediction, and increased knowledge discovery.
Theme
Citation indexing

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  4. Jiang, Z.; Liu, X.; Chen, Y.: Recovering uncaptured citations in a scholarly network : a two-step citation analysis to estimate publication importance (2016) 0.15
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  5. Wolfram, D.: ¬The power to influence : an informetric analysis of the works of Hope Olson (2016) 0.15
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