JMIR Bioinformatics and Biotechnology

JMIR Publications

Journal websitePeer review: Other
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About the journal

JMIR Bioinformatics and Biotechnology is an open-access journal published by JMIR Publications in Canada, publishing in english. It is listed in DOAJ and PUBMED according to the sources read. Declared publication charge: 1,500 USD. Declared review time at DOAJ: 16 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
JMIR Publications
ISSN
2563-3570
Country
Canada
Languages
english
Access
Open access
Declared publication charge
1,500 USD
Articles in DOAJ
43
Declared review time
16 weeks
Declared peer-review model
other

Index listings

  • DOAJ · 2023-09-11
  • PUBMED · 2020-06-19
Indexing
DOAJ · PUBMED
APC
1,500 USD
Declared review time (DOAJ)
16 weeks — journal-declared only (not measured)
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

Details of the evaluation under the published methodology are shown to signed-in users (free).

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Articles in DOAJ

43

Most recent article

5 months ago

Average review time (journal-declared via DOAJ)

16weeks

Works in OpenAlex

85

Last recorded publication year

2026

Reported by OpenAlex in 2 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

12

i10-index

18

From OpenAlex open data (CC0).

Editorial & policy11
Last DOAJ review date
2026-03-12
Added to DOAJ
2023-09-11
Declared plagiarism screening
Not declared
Other fees beyond APC
No
Declared digital preservation
PMC
Editorial board
Official page ↗
Open references deposited at Crossref
96%
ORCID iDs in current deposits
98%
Enrolled in Crossref Similarity Check
✓
APC waiver policy
View policy
Peer-review policy
View policy
Identity & continuity3
Alternate titles
JBB
Source type
journal
NLM unique ID (PubMed)
101769661
Classification4

Subjects (DOAJ)

Technology: Chemical technology: BiotechnologyScience: Biology (General)

LCC codes

TP248.13-248.65QH301-705.5

Subject areas

  • SARS-CoV-2 and COVID-19 Research
  • SARS-CoV-2 and COVID-19 Research
  • SARS-CoV-2 and COVID-19 Research
  • vaccines and immunoinformatics approaches
  • vaccines and immunoinformatics approaches
  • Artificial Intelligence in Healthcare and Education
  • Artificial Intelligence in Healthcare and Education
  • vaccines and immunoinformatics approaches
Show all subjects (75)
  • Artificial Intelligence in Healthcare and Education
  • Artificial Intelligence in Healthcare
  • Machine Learning in Healthcare
  • Machine Learning in Healthcare
  • Machine Learning in Healthcare
  • Genomics and Rare Diseases
  • Bioinformatics and Genomic Networks
  • Gene expression and cancer classification
  • Genomics and Rare Diseases
  • Genetic Associations and Epidemiology
  • Genetic Associations and Epidemiology
  • Genomics and Rare Diseases
  • Gene expression and cancer classification
  • Bioinformatics and Genomic Networks
  • Bioinformatics and Genomic Networks
  • Gene expression and cancer classification
  • Evolution and Genetic Dynamics
  • Biomedical Text Mining and Ontologies
  • Genetic Associations and Epidemiology
  • Genetics, Bioinformatics, and Biomedical Research
  • Protein Structure and Dynamics
  • SARS-CoV-2 detection and testing
  • Genetics, Bioinformatics, and Biomedical Research
  • Diverse Scientific Research Studies
  • BRCA gene mutations in cancer
  • COVID-19 Clinical Research Studies
  • COVID-19 diagnosis using AI
  • Diverse Scientific Research Studies
  • Genomics and Phylogenetic Studies
  • Biomedical Text Mining and Ontologies
  • BRCA gene mutations in cancer
  • Computational Drug Discovery Methods
  • COVID-19 diagnosis using AI
  • COVID-19 Clinical Research Studies
  • Biomedical Text Mining and Ontologies
  • Radiomics and Machine Learning in Medical Imaging
  • Ethics in Clinical Research
  • Genomics and Phylogenetic Studies
  • Topic Modeling
  • Radiomics and Machine Learning in Medical Imaging
  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies
  • Single-cell and spatial transcriptomics
  • Machine Learning in Bioinformatics
  • Monoclonal and Polyclonal Antibodies Research
  • COVID-19 epidemiological studies
  • Digital Imaging for Blood Diseases
  • AI in cancer detection
  • Digital Imaging for Blood Diseases
  • Topic Modeling
  • AI in cancer detection
  • Immunotherapy and Immune Responses
  • COVID-19 epidemiological studies
  • COVID-19 epidemiological studies
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Ferroptosis and cancer prognosis
  • Monoclonal and Polyclonal Antibodies Research
  • Ethics in Clinical Research
  • MicroRNA in disease regulation
  • Protein Structure and Dynamics
  • Context-Aware Activity Recognition Systems
  • Electronic Health Records Systems
  • Blockchain Technology Applications and Security
  • Computational Drug Discovery Methods
  • Advanced Neural Network Applications
  • Topic Modeling

Keywords (DOAJ)

  • bioinformatics
  • biotechnology
  • mathematical modelling
  • genomic variation
  • pathology
  • algorithms

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

Last automated source read: