Biodata Mining
Impact Factor Trend (2018–2026)
Clarivate IF trend for Biodata Mining
SCImago Journal Rank citation prestige weighting
46 papers with at least that number of citations each
Aims & Scope
BioData Mining is an open access, open peer-reviewed 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. Topical areas include, but are not limited to: -Development, evaluation, and application of novel data mining and machine learning algorithms. -Adaptation, evaluation, and application of traditional data mining and machine learning algorithms. -Open-source software for the application of data mining and machine learning algorithms. -Design, development and integration of databases, software and web services for the storage, management, retrieval, and analysis of data from large scale studies. -Pre-processing, post-processing, modeling, and interpretation of data mining and machine learning results for biological interpretation and knowledge discovery.
Special Issues
Calls for PapersNo active Calls for Papers found for this journal.
WoS Categories & Quartiles
Detailed JCR / JCI category rankings and quartile breakdown from Clarivate
MATHEMATICAL & COMPUTATIONAL BIOLOGY
MATHEMATICAL & COMPUTATIONAL BIOLOGY
Annual Historical Statistics & Publications
Track annual publication volume, total citations, and Impact Factor evolution
SCImago & Scopus Journal Intelligence
Global SCImago ranking, SJR prestige index, Scopus coverage, and societal policy impact
Weighted prestige citation metric per document indexed in the Scopus database.
Average citations received per document published in the 2-year window.
Estimated Article Processing Charge for Open Access publication.
Scopus 3-Year Publication & Citation Window
Aggregated from Scopus database across the 3-year SJR evaluation window.
Societal Impact & Inclusivity (SCImago)
Citations in government and international policy documents
Percentage of female authors published in the journal
Real-world societal policy reach and author gender diversity tracked by SCImago.
Scopus Subject Categories
Journal Metrics & Citation Visualizations
Total Cites vs Self-Cites
Evaluation of scholarly independence and citation reach
Citations per Document
Citation metric windows across 2, 3, and 4 years
Chinese Academy of Sciences (CAS) Classification
Major / minor zone classification and CAS Early Warning List history
Academic Intelligence Overview & Context
ImpaQ AnalysisBiodata Mining (acronym: bidm, abbr: BIODATA MIN, ISSN: 1756-0381) is a peer-reviewed international scholarly journal in the field of MATHEMATICAL & COMPUTATIONAL BIOLOGY, published by BioMed Central in England since 2008. The periodical holds a Journal Impact Factor (JIF) of 7.90, ranking in quartile Q1 of Web of Science (SCIE), a Scopus SJR indicator of 1.245 (Q1), an H-index of 46.
The journal enforces rigorous peer evaluation with an annual output of approximately 49 scientific articles. In terms of accessibility and author fees, it operates under the Gold OA model with an estimated APC of $3,315 USD. It serves as a benchmark publication platform for academics, researchers, and doctoral candidates seeking global research visibility.
Publishing & Editorial Information
Detailed publisher, peer-review turnaround, and publication cycle specifications
Similar Journals in Discipline
Journals in the same research field with comparable impact metrics