友情提示：以下期刊信息可能会有更新，仅供参考，请在投稿前自行登录期刊官网仔细核实。
期刊名
PLoS Computational Biology
PLOS COMPUT BIOL
ISSN / eISSN
1553-734X / 1553-7358
目标和范围
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.
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.
研究方向
生化研究方法
数学与计算生物学
CiteScore
7.10
查看趋势图
CiteScore 学科排名
| 类别 | 分区 | 排名 |
|---|---|---|
| Mathematics - Modeling and Simulation | Q1 | #29/316 |
| Mathematics - Ecology, Evolution, Behavior and Systematics | Q1 | #76/687 |
| Mathematics - Computational Theory and Mathematics | Q1 | #19/165 |
| Mathematics - Ecology | Q1 | #53/437 |
| Mathematics - Genetics | Q2 | #92/328 |
| Mathematics - Cellular and Molecular Neuroscience | Q2 | #32/90 |
| Mathematics - Molecular Biology | Q2 | #155/380 |
Web of Science 核心合集
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| 类别 (Journal Citation Reports 2023) | 分区 |
|---|---|
| BIOCHEMICAL RESEARCH METHODS - SCIE | Q1 |
| MATHEMATICAL & COMPUTATIONAL BIOLOGY - SCIE | Q1 |
出版国家或地区
United States
出版商
Public Library of Science
年文章数
737
Open Access
YES
通讯方式
1160 BATTERY STREET, STE 100, SAN FRANCISCO, USA, CA, 94111
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started