Journal of Data Mining in Genomics & Proteomics

OMICS Publishing Group

Not yet evaluated

About the journal

Journal of Data Mining in Genomics & Proteomics is a journal published by OMICS Publishing Group in United States. It is listed in PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
OMICS Publishing Group
ISSN
2153-0602
Country
United States
Access
Not open access / not declared

Index listings

  • PUBMED · 2011-01-01
Indexing
PUBMED
APC
—
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2024
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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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.

Works in OpenAlex

355

Last recorded publication year

2021

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

17

i10-index

28

From OpenAlex open data (CC0).

Editorial & policy2
Open references deposited at Crossref
0%
ORCID iDs in current deposits
0%
Identity & continuity2
Alternate titles
Journal of data mining in genomics and proteomics
Source type
journal
Classification(no data)

No data available to the platform for this group

No platform data for: Classification — absence is not a judgment about the journal.

Subject areas

  • Genetics, Bioinformatics, and Biomedical Research
  • Genetics, Bioinformatics, and Biomedical Research
  • Genomics and Phylogenetic Studies
  • Genomics and Phylogenetic Studies
  • Bioinformatics and Genomic Networks
  • Machine Learning in Bioinformatics
  • Bioinformatics and Genomic Networks
  • Machine Learning in Bioinformatics
Show all subjects (50)
  • Gene expression and cancer classification
  • Gene expression and cancer classification
  • RNA and protein synthesis mechanisms
  • RNA and protein synthesis mechanisms
  • Advanced Proteomics Techniques and Applications
  • Advanced Proteomics Techniques and Applications
  • Computational Drug Discovery Methods
  • Computational Drug Discovery Methods
  • Data Mining Algorithms and Applications
  • Data Mining Algorithms and Applications
  • Molecular Biology Techniques and Applications
  • Molecular Biology Techniques and Applications
  • Chromosomal and Genetic Variations
  • Chromosomal and Genetic Variations
  • Protein Structure and Dynamics
  • Metabolomics and Mass Spectrometry Studies
  • vaccines and immunoinformatics approaches
  • Protein Structure and Dynamics
  • Metabolomics and Mass Spectrometry Studies
  • vaccines and immunoinformatics approaches
  • Bacteriophages and microbial interactions
  • Genomics and Rare Diseases
  • Genomics and Rare Diseases
  • RNA modifications and cancer
  • MicroRNA in disease regulation
  • RNA modifications and cancer
  • MicroRNA in disease regulation
  • Bacteriophages and microbial interactions
  • Cancer Genomics and Diagnostics
  • Artificial Intelligence in Healthcare
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic Mapping and Diversity in Plants and Animals
  • Microbial Metabolic Engineering and Bioproduction
  • Mass Spectrometry Techniques and Applications
  • Mass Spectrometry Techniques and Applications
  • Artificial Intelligence in Healthcare
  • Cancer Genomics and Diagnostics
  • Microbial Metabolic Engineering and Bioproduction
  • Systemic Lupus Erythematosus Research
  • Genetic Associations and Epidemiology
  • Systemic Lupus Erythematosus Research
  • Genetic Associations and Epidemiology

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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: