title: Text mining of biomedical literature: doing well, but we could be doing better.
authors.affiliation: Faculty of Biology, Johannes-Gutenberg University of Mainz, Gresemundweg 2, 55128 Mainz, Germany; Institute of Molecular Biology, Ackermannweg 4, 55128 Mainz, Germany.
authors.forename: Miguel
authors.initials: M
authors.lastname: Andrade-Navarro
authors.affiliation: Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario K1H 8L6, Canada.
authors.forename: Carol
authors.initials: C
authors.lastname: Perez-Iratxeta
mesh_terms: D019295:Computational Biology / Q000331:legislation & jurisprudence / Q000639:trends*; D003309:Copyright / Q000331:legislation & jurisprudence / Q000639:trends*; D057225:Data Mining / Q000331:legislation & jurisprudence / Q000639:trends*; D006801:Humans; D010506:Periodicals as Topic / Q000331:legislation & jurisprudence / Q000639:trends*