Journal profile · MATHEMATICAL & COMPUTATIONAL BIOLOGY
BioData Mining
ISSN 1756-0381 · BioMed Central · ENGLAND · Founded 2008
BioData Mining: CAS Zone 3 · Biology (2025 upgraded edition); impact factor 7.98; fully open access; APC about USD 2,790; median 105 days to acceptance (97 articles, last 24 months); 97 articles in 2025; indexed in SCIE and Scopus.
Scope
Aims, scope and focus
BioData Mining is published by BioMed Central and is in Zone 3 of Biology in the CAS Journal Ranking (2025 upgraded edition). By OpenAlex counts of its recent articles, its largest topics are Bioinformatics and Genomic Networks, Gene expression and cancer classification and Genetic Associations and Epidemiology, together about 42.6% of its articles. Its main subfields are Molecular Biology. (generated from OpenAlex topic counts and CAS ranking data)
BioData Mining is an open access, open peer-reviewed informatics journal publishing rigorous and creative computational research at the interface of Artificial Intelligence, Machine Learning, biomedical data science, and translational informatics. The journal focuses on methodological, computational, and informatics contributions that advance how complex biological and biomedical data are represented, modeled, integrated, evaluated, interpreted, and translated into scientific or clinical insight. BioData Mining welcomes work in biology, medicine, and basic science when the computational contribution is central and broadly useful beyond a single dataset, disease, cohort, or assay. The journal prioritizes studies that introduce, adapt, evaluate, or creatively apply AI and data mining methods to high-dimensional biomedical data, especially when they demonstrate methodological rigor, thoughtful data representation, meaningful validation, interpretability, and potential for generalization. Topical areas include, but are not limited to: Development, evaluation, and application of novel machine learning, artificial intelligence, statistical, and data mining methods. Rigorous adaptation and evaluation of existing computational methods when applied in a biologically or clinically meaningful and methodologically insightful way. Foundation models, representation learning, probing, adapter methods, retrieval-augmented systems, and agentic AI approaches for biomedical discovery and translational informatics. Multimodal, longitudinal, temporal, and real-world biomedical data modeling, including approaches that address missingness, bias, confounding, calibration, uncertainty, robustness, data drift, and external validation. Open-source software, benchmarks, datasets, databases, and web services that support reproducible, reusable, and generalizable biomedical AI and data mining research. Pre-processing, post-processing, interpretation, visualization, and evaluation frameworks that improve knowledge discovery from complex biomedical data. Data types include: Imaging Electronic health records Claims and administrative data Biobanks Genomic, transcriptomic, proteomic, metabolomic, and other omics data Environmental exposure data Social determinants of health Social and behavioral data Wearable and sensor data Patient-generated data Biomedical literature, knowledge graphs, and other structured or unstructured knowledge sources
From the journal's Aims & Scope
Research area (LetPub): MATHEMATICAL & COMPUTATIONAL BIOLOGY
Editor-in-chief Nicholas TatonettiPublisher website
Editorial board by country: 3 in mainland China (about 9%); most named United States 15, Mainland China 3, Italy 3, South Korea 2, Spain 2 (32 members with a country) Editorial board ↗Publisher website ·
Main research topics OpenAlex counts of recent articles; shares are approximate
- Bioinformatics and Genomic NetworksBiochemistry, Genetics and Molecular Biology19%
- Gene expression and cancer classificationBiochemistry, Genetics and Molecular Biology12.7%
- Genetic Associations and EpidemiologyBiochemistry, Genetics and Molecular Biology10.8%
- Machine Learning in BioinformaticsBiochemistry, Genetics and Molecular Biology5.9%
- Genomics and Rare DiseasesBiochemistry, Genetics and Molecular Biology4.8%
- Biomedical Text Mining and OntologiesBiochemistry, Genetics and Molecular Biology4.8%
- Machine Learning in HealthcareComputer Science4.2%
- Genomics and Phylogenetic StudiesBiochemistry, Genetics and Molecular Biology4%
Rankings & indexing
CAS ranking and database indexing
CAS Journal Ranking
CAS Journal Ranking, upgraded edition (March 2025)Biology Zone 3
| Level | Category | Zone |
|---|---|---|
| Major | Biology | Zone 3 |
| Minor | Mathematical & Computational Biology | Zone 3 |
Top journal: noReview journal: no
CAS Xinrui Journal Ranking (March 2026)Biology Zone 3
| Level | Category | Zone |
|---|---|---|
| Major | Biology | Zone 3 |
| Minor | Mathematical & Computational Biology | Zone 2 |
Top journal: noReview journal: not marked
CAS Journal Ranking, previous upgraded edition (December 2023)Biology Zone 3
| Level | Category | Zone |
|---|---|---|
| Major | Biology | Zone 3 |
| Minor | Mathematical & Computational Biology | Zone 2 |
Top journal: noReview journal: no
Database indexing
SCIEScopusDOAJLetPub
International journal early-warning lists: not listed in any editionLetPub
Indexing the journal's website claims
INSPECEmbaseCASPublisher website
Other: Google Scholar, ProQuest, Dimensions, CNKI, Baidu, ACM Digital Library, Naver, OCLC, Portico, CLOCKSS
As the journal's website lists them, not checked against each database; for Web of Science editions the records above apply.
Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.
Metrics
Impact metrics and publication volume
Impact
- Impact factor
- 7.98LetPub ·
- Impact factor (publisher) 2025
- 7.9Publisher website ·
- 5-year impact factor (publisher) 2025
- 6.5Publisher website ·
- CiteScore 2026-06
- 7.2LetPub ·
- SJR 2026-06
- 1.25LetPub ·
- SNIP 2026-06
- 1.56LetPub ·
- h-index
- 23LetPub ·
- h-index
- 58OpenAlex ·
- i10-index
- 333OpenAlex ·
- 2-year mean citedness
- 6.44OpenAlex ·
- Self-citation rate
- 0%LetPub ·
- Share of gold OA articles
- 100%LetPub ·
Volume
- Articles per year
- 91LetPub ·
- Articles per year (publisher)
- 2,025Publisher website ·
- Downloads per year (publisher) 2025
- 607,700Publisher website ·
Articles by year OpenAlex count · 703 in total · the current year is incomplete
| Year | Articles | Open access | Citations |
|---|---|---|---|
| 2026 | 92 | 92 | 34 |
| 2025 | 97 | 97 | 730 |
| 2024 | 62 | 62 | 853 |
| 2023 | 35 | 35 | 1,665 |
| 2022 | 31 | 31 | 421 |
| 2021 | 52 | 52 | 1,921 |
Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.
Review & acceptance
Review time and acceptance
Review time from article dates manuscript dates registered with Crossref · to
105 daysMedian, submission to acceptance · P25–P75 68 days – 172 days
- Acceptance to online
- median 14 days (97 articles)
- Submission to online
- median 127 days
- Sample
- 97 articles with submission and acceptance dates (213 in the window); the latest was accepted on
Only articles that were accepted and published are counted, not the time spent on rejected manuscripts, so this usually runs longer than a publisher's "time to first decision".
Other sources
- Average review time (community reports)
- about 23 weeksLetPub ·
- Submission to first decision
- 8 daysPublisher website ·
- Submission to publication (journal-reported)
- about 23 weeksDOAJ ·
- Peer review
- Open peer reviewDOAJ
Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.
Fees & open access
APC and open-access policy
Fully open accessDOAJ
Every article is open access; authors usually pay an article processing charge (APC).
| Source | APC | Fee waiver | License | Observed |
|---|---|---|---|---|
| DOAJ | EUR 2,290 / USD 2,790 / GBP 2,090 | Yes | CC BY, CC BY-NC-ND | |
| OpenAlex | USD 2,690 / EUR 2,190 / GBP 1,990 | — | — | |
| LetPub | GBP 1,890 / USD 2,590 / EUR 2,090 | Yes | — | |
| Publisher website | GBP 2,090 / USD 2,790 / EUR 2,290 | — | — |
The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.
Submission
Article types and submission policies (journal website)
Open calls for papers1, by deadline
Publisher websiteArticle types accepted5
- brief reportMethodology Research Review Brief Report SoftwareLength not stated
- methodologyMethodology Research Review Brief Report SoftwareLength not stated
- researchMethodology Research Review Brief Report SoftwareLength not stated
- reviewMethodology Research Review Brief Report SoftwareLength not stated
- softwareMethodology Research Review Brief Report SoftwareLength not stated
Policy excerpts from the journal's websiteData availability, License & copyright, Open access, Peer review
- Data availability Formatting the 'Availability of data and materials' section of your manuscript
The following format for the 'Availability of data and materials section of your manuscript should be used:
Source ↗Publisher website ·- License & copyright Licensing and copyright
Open access under CC BY-NC-ND or CC BY licence; authors retain copyright. Model summary
Creative Commons licences Open access articles in Springer Nature journals are published under Creative Commons licences. These provide an industry-standard framework to support easy re-use of open access material. Under Creative Commons licences, authors retain copyright of their articles. BioData Mining articles are published open access under a CC BY-NC-ND (Creative Commons Attribution Non-Comm…
Source ↗Publisher website ·- Open access Benefits of open access
Publishing open access (OA) offers a number of benefits, including greater reach and readership for your work: Cited more 1.6x more citations of OA articles than non-OA articles across all subjects Downloaded more 4x more downloads of OA articles than non-OA articles Greater impact 2.5x more Altmetric attention. OA articles attracted 1.9x more news mentions and 1.2x more policy mentions Open acces…
Source ↗Publisher website ·- Peer review Peer review policy
Peer review is the process used to evaluate the quality of a manuscript before publication. Independent researchers in the relevant field assess submitted manuscripts to check their validity and robustness. Their feedback guides editors in making publication decisions. Typically, two or more experts evaluate each manuscript based on three main criteria: scientific robustness: is the research metho…
Source ↗Publisher website ·
Excerpts are quoted from the journal's website; "model summary" lines are written by Workers AI and checked against the text. The journal's website is authoritative.
Profile
Publication details and official links
- Publisher
- BioMed Central
- Country or region
- ENGLAND
- Language
- English
- Founded
- 2008
- ISSN
- 1756-0381
- Official links
- Journal homepage ↗OpenAlex
- Submission system ↗LetPub
- Author guidelines ↗LetPub
- Aims & Scope ↗LetPub
- Special issues ↗Publisher website
- APC information ↗DOAJ
- Fee waivers ↗DOAJ
- Open access statement ↗DOAJ
- License & copyright ↗DOAJ
- Peer review process ↗LetPub
- Editorial board ↗LetPub
- Plagiarism policy ↗DOAJ
FAQ
Frequently asked questions about BioData Mining
What CAS zone is BioData Mining in?
In the 2025 upgraded edition of the CAS Journal Ranking, BioData Mining is in Zone 3 of Biology, and in Zone 3 of the minor category Mathematical & Computational Biology. In the 2026 Xinrui edition it is in Zone 3 of Biology. Zones from different editions, and from major and minor categories, are not interchangeable.
What is the impact factor of BioData Mining?
The latest impact factor listed by LetPub is 7.98; CiteScore 7.2, h-index 58.
How long does peer review take at BioData Mining?
Based on the dates recorded on 97 articles published between October 2024 and October 2026 (the last 24 months), the median time from submission to acceptance is 105 days (interquartile range 68–172 days); authors report an average review time of about 23 weeks. Article statistics cover accepted papers only, publisher figures follow the journal's own definitions, and community reports come from authors' own submissions; none is a promise from the journal.
Where are the editorial board members of BioData Mining based?
Of the 32 board members whose country the journal's board page names, 3 (about 9%) are in mainland China; the countries named most often are United States (15), Mainland China (3) and Italy (3). Counted from the institutions listed on the board page; for reference only.
Which databases index BioData Mining?
According to LetPub and DOAJ records, BioData Mining is indexed in SCIE, Scopus and DOAJ. The journal's website also lists INSPEC, Embase and CAS; that list has not been checked against each database.
Is BioData Mining open access, and what is the APC?
BioData Mining is a fully open-access journal. APC about USD 2,790.
Sources and updates
The facts on this page come from LetPub, OpenAlex, DOAJ, Publisher website; every figure is tagged with its source and the date it was observed, and conflicting values are kept per source. LetPub source page: view ↗ (archived 2026-08-25). Last updated: .