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BioData Mining

Q1 Journal Open Access Scopus Active Journal
Country
United Kingdom
Western Europe
Subject Area and Category
Biochemistry, Genetics and Molecular Biology
└ Biochemistry Q1
└ Computational Mathematics Q1
└ Computational Theory and Mathematics Q1
Publisher
SJR 2025
1.245
Q1
SJR Score
H-Index
46
Citations / Doc (2yr)
9.74
Total Docs. (latest)
89
Total Citations (3yr)
1,044
Publication type
Journals
ISSN
17560381
Coverage
2009-2026
Journal Rank
#3,407
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Subject Categories

Biochemistry Q1
Computational Mathematics Q1
Computational Theory and Mathematics Q1
Computer Science Applications Q1
Genetics Q1
Molecular Biology Q2

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.

Abstracting & Indexing

Scopus Google Scholar Directory of Open Access Journals (DOAJ) Web of Science Embase

Detailed Metrics

Total Docs. (latest) 89
Total Docs. (3 years) 126
Total Refs. 5,224
Total Citations (3 years) 1,044
Citable Docs. (3 years) 123
Citations / Doc. (2 years) 9.74
Ref. / Doc. 58.70
% Female 42.3%

Metrics Visualization

Latest year data vs 3-year cumulative figures

Publication & Citation Trend

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Top 10 Most Cited Articles

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Frequently Asked Questions

What is the impact factor of BioData Mining?

The official Journal Impact Factor (JIF) is published by Clarivate in the Journal Citation Reports (JCR) and is not listed on this page. Based on SCImago data, BioData Mining has an SJR of 1.245 and is ranked Q1.

What is the SJR and quartile of BioData Mining?

BioData Mining has an SJR (SCImago Journal Rank) of 1.245 and its best quartile is Q1.

What is the H-index of BioData Mining?

The H-index of BioData Mining is 46, meaning 46 of its articles have each been cited at least 46 times.

Is BioData Mining indexed in Scopus?

Yes. BioData Mining is active in Scopus (Scopus Source List, August 2026).

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Journal Information

SJR1.245
Best QuartileQ1
H Index46
ISSN17560381
PublisherBioMed Central Ltd
CountryUnited Kingdom
RegionWestern Europe
Coverage2009-2026
Open AccessYes
TypeJournal
Rank#3,407

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