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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 Publish
View Chart Mo
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
| 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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Time to Publish
% of papers by time taken from submission to publication
0 to 3 months0%
4 to 6 months41%
7 to 9 months36%
Above 9 months23%
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Recently Published Papers in BioData Mining
Robust and rigorous identification of tissue-specific genes by statistically extending tau score.
- 9 Dec 2022
- BioData mining
Interpretable recurrent neural network models for dynamic prediction of the extubation failure risk in patients with invasive mechanical ventilation in the intensive care unit.
- 27 Sep 2022
- BioData mining
MatK-QR classifier: a patterns based approach for plant species identification.
- 1 Dec 2016
- BioData mining
The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature.
- 1 Dec 2016
- BioData mining
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification.
- 1 Dec 2016
- BioData mining
MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification.
- 1 Dec 2016
- BioData mining
Robust and rigorous identification of tissue-specific genes by statistically extending tau score.
- 9 Dec 2022
- BioData mining
Interpretable recurrent neural network models for dynamic prediction of the extubation failure risk in patients with invasive mechanical ventilation in the intensive care unit.
- 27 Sep 2022
- BioData mining
MatK-QR classifier: a patterns based approach for plant species identification.
- 1 Dec 2016
- BioData mining
The Interaction Network Ontology-supported modeling and mining of complex interactions represented with multiple keywords in biomedical literature.
- 1 Dec 2016
- BioData mining
Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification.
- 1 Dec 2016
- BioData mining
MISSEL: a method to identify a large number of small species-specific genomic subsequences and its application to viruses classification.
- 1 Dec 2016
- BioData mining
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BioData Mining
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 undefined 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.
