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BMC Bioinformatics

ISSN 1471-2105· EN

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44.5 / 100
Journament Score
Below Average
Ranked #383 of 29,324 scored journals (33,995 indexed)
850 Articles
Scores higher than 98.6% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Nombre Corto BMC Bioinformatics
Nombre Abreviado bmc bioinformatics
ISSN 1471-2105
URL http://www.biomedcentral.com/bmcbioinformatics

Quality Profile

7 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.

Show the numbers
Dimension This journal Corpus average
Engagement 30.6 30.4
Accessibility 20.0 19.1
Timeliness 100.0 9.2
Diversity 69.9 25.8
Innovation 70.0 27.4
Community Impact 4.3 7.8
Content Distribution 12.4 88.6
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (850)

2006
Machine learning techniques in disease forecasting: a case study on rice blast prediction
S, Kapoor Amar;Rakesh, Kaundal;PS, Raghava Gajendra;
Vol. 7 , No. 1 , pp. 485-
760 views Abstract
2012
EVA: Exome Variation Analyzer, an efficient and versatile tool for filtering strategies in medical genomics
Sophie, Coutant;Chloé, Cabot;Arnaud, Lefebvre;Martine, Léonard;Elise, Prieur-Gaston;Dominique, Campion;Thierry, Lecroq;Hélène, Dauchel;
Vol. 13 , No. Suppl 14 , pp. S9-
672 views Abstract
2014
Characterization and identification of protein O-GlcNAcylation sites with substrate specificity.
Wu, Hsin-Yi;Lu, Cheng-Tsung;Kao, Hui-Ju;Chen, Yi-Ju;Chen, Yu-Ju;Lee, Tzong-Yi;
Vol. 15 Suppl 16 , pp. S1
639 views DOI Abstract
2010
SolexaQA: At-a-glance quality assessment of Illumina second-generation sequencing data
Murray P Cox;Daniel A Peterson;Patrick J Biggs;Murray P Cox;Daniel A Peterson;Patrick J Biggs;
Vol. 11 , No. 1 , pp. 1-6
616 views DOI Abstract
2018
Automated shape-based clustering of 3D immunoglobulin protein structures in chronic lymphocytic leukemia
Polychronidou, Eleftheria;Kalamaras, Ilias;Agathangelidis, Andreas;Sutton, Lesley-Ann;Yan, Xiao-Jie;Bikos, Vasilis;Vardi, Anna;Mochament, Konstantinos;Chiorazzi, Nicholas;Belessi, Chrysoula;Rosenquist, Richard;Ghia, Paolo;Stamatopoulos, Kostas;Vlamos, Panayiotis;Chailyan, Anna;Overby, Nanna;Marcatili, Paolo;Hatzidimitriou, Anastasia;Tzovaras, Dimitrios;
Vol. 19 , No. S14 , pp. 67-81
614 views Abstract
2019
Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data.
Chung, Neo Christopher;Miasojedow, BłaŻej;Startek, Michał;Gambin, Anna;
Vol. 20 , No. Suppl 15 , pp. 644
586 views DOI Abstract
2019
Linking entities through an ontology using word embeddings and syntactic re-ranking.
Karadeniz, İlknur;Özgür, Arzucan;
Vol. 20 , No. 1 , pp. 156
541 views DOI Abstract
2012
NetiNeti: discovery of scientific names from text using machine learning methods
Lakshmi, Akella;N, Norton Catherine;Holly, Miller;
Vol. 13 , No. 1 , pp. 211-
540 views Abstract
2010
PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship.
Jung, Inkyung;Matsuyama, Akihisa;Yoshida, Minoru;Kim, Dongsup;
Vol. 11 Suppl 1 , pp. S10
530 views DOI Abstract
2011
Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks via a web interface
E, Bushell Michael;Claudio, Avignone-Rossa;Mateusz, Markowski;Jakub, Łącki;Dariusz, Leniowski;Szymon, Gwóźdź;Łukasz, Bieniasz-Krzywiec;Jacek, Sroka;Johnjoe, McFadden;M, Kierzek Andrzej;
Vol. 12 , No. 1 , pp. 196-
510 views Abstract
2026
ABAG-Rank: Improving Model Selection of AlphaFold Antibody–Antigen Complexes by Learning to Rank
Matteo Tadiello, Marko Ludaic, Vsevolod Viliuga, Arne Elofsson
DOI Abstract
2026
Revealing Subject-Specific Temporal Patterns from Longitudinal Data
Christos Chatzis, D Horner, Rasmus Zier Bro, Ann-Marie Malby Schoos, Morten Arendt Rasmussen, Evrim Acar
DOI Abstract
2026
Correction: MS-ConTab: multi-scale contrastive learning of mutation signatures for Pan-Cancer representation and stratification
DOI
2026
Correction: Approximating facial expression effects on diagnostic accuracy via generative AI in medical genetics
DOI
2026
MultiDMPcaller: A One-Stop Software for Detection and Visualization of Differentially Methylated Positions and Regions
Qiuyu Yuan, Hongyan Zhao, Z. Q. Zhang, Chenhao Yue, Bingchao Zhang, Songyan Xue, Qing Zou, Jiantao Yu
DOI Abstract
2026
Knowledge-driven multimodal mutual learning for cell line-targeted anticancer peptide prediction
Xuan Liu, Jian Zhang, Chongyang Chen, Shichao Liu, Wen Zhang
DOI Abstract
2026
PCIM-DTA: Pairwise Conditional Interaction Modeling for Drug–Target Affinity Prediction under Cold-Start Scenarios
Z. Zhou, Min Chen, 周文剑, Qiong Xiao
DOI Abstract
2026
Semi-supervised Retrieval of Functional Residues Through the Integration of Protein Language Models and Gene Ontology Data
Andrew Dickson, Salma Mouline, Ali Tamadon, Mohammad R. K. Mofrad
DOI Abstract
2026
Design of peptides with non-canonical amino acids using flow matching
Jin Sub Lee, Philip M. Kim
DOI Abstract
2026
mmVelo: A deep generative model for estimating cell state-dependent dynamics across multiple modalities
Satoshi Nomura, Yasuhiro Kojima, Kodai Minoura, Shuto Hayashi, Ko Abe, Haruka Hirose, Teppei Shimamura
DOI Abstract
Journament Score
44.5/100 · Below Average
Ranked #383 of 29,324 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

44.5/100

Tier: Below Average

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.6/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

20.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

69.9/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

70.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

4.3/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

100.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

12.4/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.