PLoS Computational Biology
SCI一区
EI同步收录
月刊
高认可度
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期刊基础介绍
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.
期刊核心参数
通讯方式
PUBLIC LIBRARY SCIENCE, 185 BERRY ST, STE 1300, SAN FRANCISCO, USA, CA, 94107
涉及的研究方向
生物-生化研究方法
出版国家或地区
UNITED STATES
出版语言
English
年文章数
741
PubMed Central (PMC)链接
平均录用比例
很难
CITESCORE
| CiteScore | SJR | SNIP | CiteScore排名 | ||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7.20 | 1.503 | 1.137 |
|
WOS期刊JCR分区
WOS分区等级:1区| 按JIF指标学科分区 | 收录子集 | JIF分区 | JIF排名 | JIF百分位 |
| 学科:BIOCHEMICAL RESEARCH METHODS | SCIE | Q2 | 24/86 |
|
| 学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY | SCIE | Q1 | 12/67 |
|
| 按JCI指标学科分区 | 收录子集 | JCI分区 | JCI排名 | JCI百分位 |
| 学科:BIOCHEMICAL RESEARCH METHODS | SCIE | Q1 | 15/86 |
|
| 学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY | SCIE | Q1 | 12/67 |
|
期刊分区表预警名单
2025年03月发布的2025版:不在预警名单中2024年02月发布的2024版:不在预警名单中
2023年01月发布的2023版:不在预警名单中
2021年12月发布的2021版:不在预警名单中
2020年12月发布的2020版:不在预警名单中
中科院2025年3月升级版
点击查看中国科学院期刊分区趋势图| 大类学科 | 小类学科 | Top期刊 | 综述期刊 | ||||
|---|---|---|---|---|---|---|---|
| 生物学 2区 |
| 否 | 否 |
中科院2023年12月旧的升级版
| 大类学科 | 小类学科 | Top期刊 | 综述期刊 | ||||
|---|---|---|---|---|---|---|---|
| 生物学 2区 |
| 否 | 否 |