ISSN: 1748-5673

Journal Home

Journal Guideline

International Journal of Data Mining and Bioinformatics Q3 Unclaimed

Inderscience Enterprises Ltd United Kingdom

Unfortunately this journal has not been claimed yet. For this reason, some information may be unavailable.

International Journal of Data Mining and Bioinformatics is a journal indexed in SJR in Biochemistry, Genetics and Molecular Biology (miscellaneous) and Information Systems with an H index of 25. It has an SJR impact factor of 0,173 and it has a best quartile of Q3. It has an SJR impact factor of 0,173.

Type: Journal

Type of Copyright:

Languages:

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Library and Information Sciences (Q3) Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q4) Information Systems (Q4)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

International Journal of Data Mining and Bioinformatics

0,173

SJR Impact factor

25

H Index

7

Total Docs (Last Year)

80

Total Docs (3 years)

210

Total Refs

32

Total Cites (3 years)

80

Citable Docs (3 years)

0.15

Cites/Doc (2 years)

30.0

Ref/Doc

Comments

No comments ... Be the first to comment!

Publication speed *

Review quality *

Edition and editorial team *

Institutional email or ORCID *

* The email or ORCID field is only to validate the authenticity of the comment, the identity will not be public. .

Other journals with similar parameters

Open Journal of Bioresources Q3
JIMD Reports Q3
Frontiers in Bioscience - Elite Q3
BioSystems Q3
Artificial Life Q3

Compare this journals

Aims and Scope

Best articles by citations

Metabolites production improvement by identifying minimal genomes and essential genes using flux balance analysis

Towards rule-based metabolic databases: a requirement analysis based on KEGG

Scoring and summarising gene product clusters using the Gene Ontology

A graph-based integrative method of detecting consistent protein functional modules from multiple data sources

Multi-platform gene-expression mining and marker gene analysis

Detecting microarray data supported microRNA-mRNA interactions

Selection and mapping of DNA structural features for short gene recognition

A hybrid named entity tagger for tagging human proteins/genes

Computing approximate solutions of the protein structure determination problem using global constraints on discrete crystal lattices

Genome-wide discovery of miRNAs using ensembles of machine learning algorithms and logistic regression

Modelling and structural characteristics analysis of gene networks for prostate cancer

Evaluation of BIC and Cross Validation for model selection on sequence segmentations

SHOW MORE ARTICLES

Link prediction potentials for biological networks

Mitigating bias in planning two-colour microarray experiments

PRTAD: A database for protein residue torsion angle distributions

Predicting survival outcomes in ovarian cancer using gene expression data

Small Ancestry Informative Marker panels for complete classification between the original four HapMap populations

In silico identification and functional annotation of yeast E3 ubiquitin ligase Rsp5 substrates

Robust medical data mining using a clustering and swarm-based framework

The correlation-based redundancy multiple-filter approach for gene selection

Predicting alternatively spliced exons using semi-supervised learning

To screen the effective software for analysing gene interactions from Kashin-Beck disease genome profiling pathway and network, according to the tool of GeneMANIA

Learning multiple distributed prototypes of semantic categories for named entity recognition

Refinement of under-determined loops of Human Prion Protein by database-derived distance constraints