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PLoS computational biology

ISSN 1553-734X· EN

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36.6 / 100
Journament Score
Poor
Ranked #6,863 of 29,324 scored journals (33,995 indexed)
137 Articles
Scores higher than 76.5% 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

Short Name PLoS Comput Biol
Abbreviated Name plos computational biology
ISSN 1553-734X
URL http://journals.plos.org/ploscompbiol

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 31.2 30.4
Accessibility 20.0 19.1
Timeliness 0.0 9.2
Diversity 55.6 25.8
Innovation 70.0 27.4
Community Impact 5.7 7.8
Content Distribution 63.1 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 (137)

2018
Differential tissue growth and cell adhesion alone drive early tooth morphogenesis: An ex vivo and in silico study.
Marin-Riera, Miquel;Moustakas-Verho, Jacqueline;Savriama, Yoland;Jernvall, Jukka;Salazar-Ciudad, Isaac;
Vol. 14 , No. 2 , pp. e1005981
574 views DOI Abstract
2019
ProtFus: A Comprehensive Method Characterizing Protein-Protein Interactions of Fusion Proteins.
Tagore, Somnath;Gorohovski, Alessandro;Jensen, Lars Juhl;Frenkel-Morgenstern, Milana;
Vol. 15 , No. 8 , pp. e1007239
536 views DOI Abstract
2019
miRWoods: Enhanced precursor detection and stacked random forests for the sensitive detection of microRNAs.
Bell, Jimmy;Larson, Maureen;Kutzler, Michelle;Bionaz, Massimo;Löhr, Christiane V;Hendrix, David;
Vol. 15 , No. 10 , pp. e1007309
513 views DOI Abstract
2013
thermodynamic study of complex formation between 3,5-di iodo-hydroxy quinoline and zn2+, ni2+ and co2+ cations in some binary solvents using a conductometric method
;A. Nezhadali;Gh. Taslimi
Vol. 52 , No. 4 , pp. 797-800
510 views DOI Abstract
2013
Steered molecular dynamics simulations of a type IV pilus probe initial stages of a force-induced conformational transition.
Baker, Joseph L;Biais, Nicolas;Tama, Florence;
Vol. 9 , No. 4 , pp. e1003032-
507 views Abstract
2014
Learning gene networks under SNP perturbations using eQTL datasets.
Zhang, Lingxue;Kim, Seyoung;
Vol. 10 , No. 2 , pp. e1003420
479 views DOI Abstract
2020
Notch signaling and taxis mechanims regulate early stage angiogenesis: A mathematical and computational model.
Vega, Rocío;Carretero, Manuel;Travasso, Rui D M;Bonilla, Luis L;
Vol. 16 , No. 1 , pp. e1006919
457 views DOI Abstract
2012
Joint modelling of confounding factors and prominent genetic regulators provides increased accuracy in genetical genomics studies.
Fusi, Nicoló;Stegle, Oliver;Lawrence, Neil D;
Vol. 8 , No. 1 , pp. e1002330
448 views DOI Abstract
2019
Searching algorithm for Type IV effector proteins (S4TE) 2.0: Improved tools for Type IV effector prediction, analysis and comparison in proteobacteria.
Noroy, Christophe;Lefrançois, Thierry;Meyer, Damien F;
Vol. 15 , No. 3 , pp. e1006847
438 views DOI Abstract
2015
A Large-Scale Assessment of Nucleic Acids Binding Site Prediction Programs.
Miao, Zhichao;Westhof, Eric;
Vol. 11 , No. 12 , pp. e1004639-
438 views Abstract
2021
Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.
Rozova, Vlada S;Anwer, Ayad G;Guller, Anna E;Es, Hamidreza Aboulkheyr;Khabir, Zahra;Sokolova, Anastasiya I;Gavrilov, Maxim U;Goldys, Ewa M;Warkiani, Majid Ebrahimi;Thiery, Jean Paul;Zvyagin, Andrei V;
Vol. 17 , No. 7 , pp. e1009193
235 views DOI Abstract
2020
A mechanism for epithelial-mesenchymal heterogeneity in a population of cancer cells.
Tripathi, Shubham;Chakraborty, Priyanka;Levine, Herbert;Jolly, Mohit Kumar;
Vol. 16 , No. 2 , pp. e1007619
323 views DOI Abstract
2020
Notch signaling and taxis mechanims regulate early stage angiogenesis: A mathematical and computational model.
Vega, Rocío;Carretero, Manuel;Travasso, Rui D M;Bonilla, Luis L;
Vol. 16 , No. 1 , pp. e1006919
457 views DOI Abstract
2020
Interpreting neural decoding models using grouped model reliance.
Valentin, Simon;Harkotte, Maximilian;Popov, Tzvetan;
Vol. 16 , No. 1 , pp. e1007148
359 views DOI Abstract
2019
Evolutionary multiplayer games on graphs with edge diversity.
Su, Qi;Zhou, Lei;Wang, Long;
Vol. 15 , No. 4 , pp. e1006947
228 views DOI Abstract
2019
Autistic traits influence the strategic diversity of information sampling: Insights from two-stage decision models.
Lu, Haoyang;Yi, Li;Zhang, Hang;
Vol. 15 , No. 12 , pp. e1006964
219 views DOI Abstract
2019
Problem-based learning in clinical bioinformatics education: Does it help to create communities of practice?
Davies, A.
Vol. 15 , pp. 0-0
178 views DOI
2019
miRWoods: Enhanced precursor detection and stacked random forests for the sensitive detection of microRNAs.
Bell, Jimmy;Larson, Maureen;Kutzler, Michelle;Bionaz, Massimo;Löhr, Christiane V;Hendrix, David;
Vol. 15 , No. 10 , pp. e1007309
513 views DOI Abstract
2019
Multi-Cell ECM compaction is predictable via superposition of nonlinear cell dynamics linearized in augmented state space.
Mayalu, Michaëlle N;Kim, Min-Cheol;Asada, H Harry;
Vol. 15 , No. 9 , pp. e1006798
357 views DOI Abstract
2019
Perspective: Dimensions of the scientific method.
Voit, Eberhard O;
Vol. 15 , No. 9 , pp. e1007279
341 views DOI Abstract
Journament Score
36.6/100 · Poor
Ranked #6,863 of 29,324 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

36.6/100

Tier: Poor

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

31.2/100

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

55.6/100

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

5.7/100

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

0.0/100

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

63.1/100

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.