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PLoS Computational Biology


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*Average Peer Review
32 Weeks
*Competitiveness
CiteScore
7.1

CiteScore Rank
Subject Area Rank Percentile
Category: Mathematics
Subcategory: Modeling and Simulation
32 / 324
Category: Mathematics
Subcategory: Ecology, Evolution, Behavior and Systematics
87 / 721
Category: Mathematics
Subcategory: Computational Theory and Mathematics
23 / 176
Category: Mathematics
Subcategory: Ecology
63 / 461
Category: Mathematics
Subcategory: Genetics
97 / 347
Category: Mathematics
Subcategory: Cellular and Molecular Neuroscience
34 / 97
Category: Mathematics
Subcategory: Molecular Biology
163 / 410



Country/Area of Publication
United States
Publication Frequency
Publisher
Public Library of Science

ISSN
1553-7358
E-ISSN
1553-7358
Year Publication Started
0

Self-citation (2023-2024)
5.30%
Annual Article Volume
637
Gold OA Percentage
99.67%


Open Access Info
APC APC Waiver Other Charges
Yes: Check details
( USD2926; )
Yes: Check detailsNo

Journal Aim & Scope
PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery.

Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines.

Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights.

Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology.

Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.


Web of Science Quartiles
WOS Quartile: Q1

Quartiles By JIFCollectionQuartileRankPercentage
Category: BIOCHEMICAL RESEARCH METHODSSCIEQ115/85
Category: MATHEMATICAL & COMPUTATIONAL BIOLOGYSCIEQ111/65
Quartiles By JCICollectionQuartileRankPercentage
Category: BIOCHEMICAL RESEARCH METHODSSCIEQ115/85
Category: MATHEMATICAL & COMPUTATIONAL BIOLOGYSCIEQ112/65
*Crowdsourced data
  • Journals In The Same Subject Area
  • CiteScore Trends
  • Self Citation Trends
  • Annual Article Volume Trends
  • Journal Title h-index CiteScore
    Wiley Interdisciplinary Reviews-Water016.60
    Current Opinion in Insect Science2710.40
    Horticultural Plant Journal09.60
    Acta Ecologica Sinica01.40
    Journal of Plant Ecology254.60
    URBAN ECOSYSTEMS445.70
    Anthropocene Review05.30
    Frontiers in Ecology and Evolution04.00
    Plant Direct05.00
    Bulletin of the Peabody Museum of Natural History132.40
  • PLoS Computational Biology PLoS Computational Biology
    Predict CiteScore Trend:
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