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BioData Mining : Impact Factor & More
eISSN: 1756-0381pISSN: 1756-0381
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BioData Mining Key Metrics
CiteScore 
4.1
Impact Factor
< 5
SJR
Q2Genetics
SNIP
0.95
Time to Accept
6
Mo
Time to Publish
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Time to Publish
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% of papers by time taken from submission to publication
0 to 3 months17%
4 to 6 months26%
7 to 9 months43%
Above 9 months14%
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Topics Covered on BioData Mining
Gene expression
External validation
Gene ontology
Feature selection
Multifactor dimensionality reduction
Septic shock
Feature ranking
Confusion matrix
Acute ischemic stroke
Ensemble learning
Gene ontology annotation
Prognostic model
Network pharmacology
Random forest
Ovarian cancer
Sepsis
Linkage disequilibrium
Support vector machine
Overall survival
Whole genome sequencing
BioData Mining Journal Specifications
Indexed in the following public directories
Web of Science 
Scopus 
DOAJ 
Inspec 
SJR
| Overview | |
| Publisher | BMC |
| Language | English |
| Frequency | Continuous publication |
| Article Processing Charges | EUR 1990 | USD 2490 | GBP 1790 |
| Publication Time | 23 |
| Editorial Review Process | Open peer review |
| General Details | |
| Language | English |
| Frequency | Continuous publication |
| Publication Start Year | 2008 |
| Publisher URL | Visit website |
| Website URL | Visit website |
| Publication Details | |
| Editorial Review Detail | |
| Information for authors | |
| Author instructions | Visit website |
| Copyright Details | Visit website |
| Deposit Policy | Sherpa/Romeo |
| License type | CC BY, CC0 |
| OA statement | Visit website |
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Recently Published Papers in BioData Mining
TGNet: tensor-based graph convolutional networks for multimodal brain network analysis
- 6 Dec 2024
- BioData Mining
Predictive modeling of ALS progression: an XGBoost approach using clinical features
- 2 Dec 2024
- BioData Mining
Supervised multiple kernel learning approaches for multi-omics data integration
- 23 Nov 2024
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Deep learning-based Emergency Department In-hospital Cardiac Arrest Score (Deep EDICAS) for early prediction of cardiac arrest and cardiopulmonary resuscitation in the emergency department
- 23 Nov 2024
- BioData Mining
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma
- 14 Nov 2024
- BioData Mining
Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation
- 13 Nov 2024
- BioData Mining
TGNet: tensor-based graph convolutional networks for multimodal brain network analysis
- 6 Dec 2024
- BioData Mining
Predictive modeling of ALS progression: an XGBoost approach using clinical features
- 2 Dec 2024
- BioData Mining
Supervised multiple kernel learning approaches for multi-omics data integration
- 23 Nov 2024
- BioData Mining
Deep learning-based Emergency Department In-hospital Cardiac Arrest Score (Deep EDICAS) for early prediction of cardiac arrest and cardiopulmonary resuscitation in the emergency department
- 23 Nov 2024
- BioData Mining
Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma
- 14 Nov 2024
- BioData Mining
Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation
- 13 Nov 2024
- BioData Mining
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Compare journals across 7 parameters SJR Ranking, Topics covered, Indexing Database, Publication Review Time, Publication Type, Article Processing Charges & Recently Published papers
SJR Ranking, Topics covered, Indexing Database, Publication Review Time, Publication Type, Article Processing Charges & Recently Published papers
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FAQs on BioData Mining
How long has BioData Mining been actively publishing? 
BioData Mining has been in operation since 2008 till date.
What is the publishing frequency of BioData Mining?
BioData Mining published with a Continuous publication frequency.
How many articles did BioData Mining publish last year?
In 2023, BioData Mining publsihed 35 articles.
What is the eISSN & pISSN for BioData Mining?
For BioData Mining, eISSN is 1756-0381 and pISSN is 1756-0381.
What is Citescore for BioData Mining?
Citescore for BioData Mining is 4.1.
What is SNIP score for BioData Mining?
SNIP score for BioData Mining is 0.95.
What is the SJR for BioData Mining?
SJR for BioData Mining is Q2.
Who is the publisher of BioData Mining?
BMC is the publisher of BioData Mining.
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