Predicting citation count of Bioinformatics papers within four years of publication | Zendy

Alfonso Ibáñez | Zendy; Pedro Larrañaga | Zendy; Concha Bielza | Zendy

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Predicting citation count of Bioinformatics papers within four years of publication

Author(s) -

Alfonso Ibáñez,

Pedro Larrañaga,

Concha Bielza

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp585

Subject(s) - citation , computer science , data science , bayes' theorem , population , naive bayes classifier , data mining , bioinformatics , information retrieval , machine learning , artificial intelligence , biology , library science , bayesian probability , medicine , support vector machine , environmental health

Nowadays, publishers of scientific journals face the tough task of selecting high-quality articles that will attract as many readers as possible from a pool of articles. This is due to the growth of scientific output and literature. The possibility of a journal having a tool capable of predicting the citation count of an article within the first few years after publication would pave the way for new assessment systems.

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