Impact Factor
4.52
Journal Citation Impact
Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.
Citation rate
7.52
6,168 total citations
h5-index
77
h5 depth signal
Cited share
84.9%
754 of 888
Total citations
6,168
Citation footprint
Metric signal
5.41
External metric anchor
Self-citation
1.3%
78 self-citations
Citations Trend
Monthly Publications Cadence
Citing Geographic Demographics
United States
1,786
China
1,555
Germany
431
United Kingdom
338
Italy
296
Citing Fields of Research
Genetics & Genomics
3,395
AI & Machine Learning
1,898
Protein Structure & Folding
744
Statistical Methods
405
Noncoding RNA
390
Publishing Activity & Reach
Volume, recency, access pattern, and citing-community signals from the journal analytics record.
All-time article footprint
13,270
Articles tracked across the journal lifetime
Indexed publication set
888
754 cited publications
Last 12 months
411
34.3 publications/month
Open access share
100.0%
411 OA publications in the last year
Leading citing country
United States
1,786 citing publications
Leading citing field
Genetics & Genomics
3,395 citing publications
Latest tracked publication
19 October 2026
10 recent records available
Coverage & Indexing History
v1n1, 2000-
v1n1, 2000-
Active Coverage
Active Coverage
Research Focus & Classification
Indexed Subjects
Genetics & Genomics
AI & Machine Learning
Protein Structure & Folding
Noncoding RNA
Broad Categories
Computational Biology
Genetics & Genomics
MeSH Descriptors
Computational Biology
Latest Publications
Recent article records with DOI-first linking and condensed abstracts.
01
DOI 10.1186/s12859-026-06713-8
Open DOI
Taxonomic, predicted functional, and network-based characterization of the breast cancer-associated gut microbiome
02
03
DOI 10.1186/s12859-026-06660-4
Open DOI
Metacontextify: automated environmental annotation of marine metagenomic samples
Background: Environmental metadata is essential for using metagenomic and microbiome data to gain relevant biological insights like relations between the environment and microbial communities, genome content and protein-level adaptations...
04
DOI 10.1186/s12859-026-06701-y
Open DOI
ParaDISM: precise mapping of short reads to genes with highly homologous regions
Background: Genes with highly similar genomic copies (paralogs, tandem duplications and pseudogenes) pose a major challenge for Short-Read High Throughput Sequencing (srHTS). High sequence similarity makes it difficult to unambiguously i...
05
DOI 10.1186/s12859-026-06704-9
Open DOI
A hybrid beam search framework with deep representation learning for the multiple longest common subsequence problem
06
DOI 10.1186/s12859-026-06689-5
Open DOI
GenPerturb: sequence-grounded interpretation of perturbation transcriptomes using pretrained genomic models
Background: Perturb-seq captures transcriptional responses to thousands of genetic and chemical perturbations, but does not directly resolve the cis-regulatory elements or transcription factor motifs underlying those responses. Existing ...
07
DOI 10.1186/s12859-026-06679-7
Open DOI
Continuous immune composition retains longitudinal information beyond coarse ecological-context labels in pediatric leukemia
Background: Single-cell pediatric leukemia datasets capture substantial variation in cellular composition, but apparent ecological states can be confounded by leukemia lineage, project structure, annotation differences, malignant-cell co...
08
DOI 10.1186/s12859-026-06673-z
Open DOI
DHF-DTI: a dual-modality hybrid fusion framework for drug-target interaction prediction
Background: Efficient computational methods for predicting drug–target interactions (DTI) are crucial for drug discovery, shortening the development cycle, and reducing costs. Although deep learning has achieved remarkable progress in th...
09
DOI 10.1186/s12859-026-06667-x
Open DOI
ROOFS: RObust biOmarker Feature Selection
10
DOI 10.1186/s12859-026-06705-8
Open DOI
CoMeDA: an integrated platform for compositional analysis of metabarcoding data with batch correction
Background: Metabarcoding data generated from 16S rRNA and internal transcribed spacer (ITS) amplicon sequencing are inherently compositional, with observed abundances representing relative rather than absolute information. Ignoring this...
Bibliographical & Catalog Notes
Title from BioMed Central archive screen (viewed Dec. 17, 2001).
Articles added consecutively to the current annual v.
Mode of access: Internet.