Journal profile

Journal of biomedical semantics

Publisher: Biomed Central
ISSN2041-1480 FormatOnline StatusCurrently indexed

Journal Citation Impact

Estimated influence, citation density, publishing volume, and citation integrity from the analytics table.

Impact Factor
3.66
Citation rate 5.39 206 total citations
h5-index 22 h5 depth signal
Cited share 87.8% 36 of 41
Total citations 206 Citation footprint
Metric signal 5.33 External metric anchor
Self-citation 1.5% 3 self-citations

Citations Trend

Monthly Publications Cadence

Citing Geographic Demographics

United States 126
United Kingdom 55
Germany 47
Netherlands 28
Spain 22

Citing Fields of Research

AI & Machine Learning 161
Knowledge Representation & Reasoning 133
Genetics & Genomics 90
Medical Ethics 59
Health Education & Remote Healthcare 45

Publishing Activity & Reach

Volume, recency, access pattern, and citing-community signals from the journal analytics record.

All-time article footprint 586 Articles tracked across the journal lifetime
Indexed publication set 41 36 cited publications
Last 12 months 29 2.4 publications/month
Open access share 100.0% 29 OA publications in the last year
Leading citing country United States 126 citing publications
Leading citing field AI & Machine Learning 161 citing publications
Latest tracked publication 11 October 2026 10 recent records available

Coverage & Indexing History

MEDLINE
v6, 2015-
PubMed
v1, 2010-
PMC
Active Coverage

Research Focus & Classification

Indexed Subjects

AI & Machine Learning Knowledge Representation & Reasoning Medical Ethics Genetics & Genomics Health Education & Remote Healthcare

Broad Categories

Computational Biology Social Justice & Reform Knowledge Representation & Reasoning Medical Ethics Genetics & Genomics

MeSH Descriptors

Biomedical Research Medical Informatics Semantics

Latest Publications

Recent article records with DOI-first linking and condensed abstracts.

02
Nirupama Benis, Eleni Mina, Ronald Cornet
Background: Current omics repositories aim to facilitate the findability of different types of omics data in order to improve data reuse. Data reuse requires sufficient metadata about how the data was produced and processed. This is part...
05
Rohitha Ravinder, Lukas Geist, Nelson Quiñones et al.
Background: The extensive volume of biomedical scientific literature requires efficient methods for retrieving relevant documents based on semantic technologies and biomedical concepts. While embedding-based methods have shown improvemen...
07
Christoph Beger, Dorothea Strobach, Ralph Schäfermeier et al.
Background: Phenotyping, the comprehensive assessment of observable characteristics, is essential for advancing medical understanding and personalised healthcare. However, traditional phenotyping methods are often manual, time-intensive,...

Bibliographical & Catalog Notes

Description based on: 1:1 (31 Mar. 2010); title from journal home page (BioMed Central Web site, viewed Apr. 29, 2010).

Latest issue consulted: 1:6 (12 Apr. 2010) (viewed June 1, 2010).

Mode of access: World Wide Web.