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BioData Mining

Journal Abbreviation: BIODATA MIN
Journal ISSN: 1756-0381

About BioData Mining

    BioData Mining, is an open access, peer reviewed, online journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data.<br/><br/>Topical areas include, but are not limited to: <br/><br/>- Development, evaluation, and application of novel data mining and machine learning algorithms. <br/>- Adaptation, evaluation, and application of traditional data mining and machine learning algorithms. <br/>- Open-source software for the application of data mining and machine learning algorithms.
Year Impact Factor (IF) Total Articles Total Cites
2023 (2024 update) 4.0 - -
2022 - -
2021 4.079 - 1075
2020 2.522 18 796
2019 2.672 19 596
2018 2.301 26 544
2017 1.857 38 427
2016 1.577 35 349
2015 1.640 42 232
2014 2.024 28 208
2013 1.535 21 120
2012 - -
2011 - -
2010 - -

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