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Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature., and . Scientometrics, 85 (1): 257-270 (2010)Models for Predicting and Explaining Citation Count of Biomedical Articles., and . AMIA, AMIA, (2008)A Comparison of Impact Factor, Clinical Query Filters, and Pattern Recognition Query Filters in Terms of Sensitivity to Topic., , , and . MedInfo, volume 129 of Studies in Health Technology and Informatics, page 716-720. IOS Press, (2007)A comparison of evaluation metrics for biomedical journals, articles, and websites in terms of sensitivity to topic., , , and . J. Biomed. Informatics, 44 (4): 587-594 (2011)A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization., , , , , , and . J. Assoc. Inf. Sci. Technol., 65 (10): 1964-1987 (2014)A Comparison of Bayesian Network Learning Algorithms from Continuous Data., and . AMIA, AMIA, (2005)Identifying Unproven Cancer Treatments on the Health Web: Addressing Accuracy, Generalizability and Scalability., , and . MedInfo, volume 192 of Studies in Health Technology and Informatics, page 667-671. IOS Press, (2013)Using Knowledge from APIs to Disambiguate Affiliation Names in MEDLINE., , and . AMIA, AMIA, (2012)Computer models for identifying instrumental citations in the biomedical literature., , and . Scientometrics, 97 (3): 871-882 (2013)Improving Biomedical Information Retrieval Citation Metrics Using Machine Learning.. Vanderbilt University, Nashville, Tennessee, USA, (2008)base-search.net (ftvanderbilt:oai:ir.vanderbilt.edu:1803/15062).