Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature

The most popular method for judging the impact of biomedical articles is citation count which is the number of citations received. The most significant limitation of citation count is that it cannot evaluate articles at the time of publication since citations accumulate over time. This work presents...

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Veröffentlicht in:	Scientometrics 2010-10, Vol.85 (1), p.257-270
Hauptverfasser:	Fu, Lawrence D., Aliferis, Constantin F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bibliometrics Computer Science Information Storage and Retrieval Library Science Machine learning Scholarly publishing
Online-Zugang:	Volltext
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