JOURNAL PROFILE

PLoS Computational Biology

— · ISSN 1553-7358 · BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY

数据可追溯 · letpub-v6 · 更新于 2026-08-24T22:18:26.610Z
实时影响指标3.45
h-index138
平均审稿速度网友分享经验:很快,2-3周
平均录用比例网友分享经验:

ABOUT THE JOURNAL

期刊简介

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.

STRUCTURED PARTITIONS

学科分区明细

不同版本、大类与小类分别展示,不将不同评价口径合并为一个分区值。

《新锐期刊分区表》( 2026年3月发布)

2026-03 · 3 个学科记录

Top:否综述:N/A
类别学科分区
大类生物学2区
小类生化研究方法BIOCHEMICAL RESEARCH METHODS1区
小类数学与计算生物学MATHEMATICAL & COMPUTATIONAL BIOLOGY1区

期刊分区表( 2025年3月升级版)

2025-03 · 3 个学科记录

Top:否综述:否
类别学科分区
大类生物学2区
小类生化研究方法BIOCHEMICAL RESEARCH METHODS2区
小类数学与计算生物学MATHEMATICAL & COMPUTATIONAL BIOLOGY2区

期刊分区表( 2023年12月旧的升级版)

2023-12 · 3 个学科记录

Top:否综述:否
类别学科分区
大类生物学2区
小类生化研究方法BIOCHEMICAL RESEARCH METHODS2区
小类数学与计算生物学MATHEMATICAL & COMPUTATIONAL BIOLOGY2区

IDENTITY

出版与身份

期刊ISSN
1553-7358
P-ISSN
1553-734X
是否OA开放访问
Yes
通讯方式
1160 BATTERY STREET, STE 100, SAN FRANCISCO, USA, CA, 94111
出版商
Public Library of Science
出版国家或地区
UNITED STATES
出版语言
English
出版年份
0

SCOPE

研究范围

期刊简介
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.
涉及的研究方向
BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY

METRICS

指标与活跃度

2025-2026最新IF(数据来源于网友提供)
注册或登录后,查看IF
实时影响因子
截止2026年5月06日:3.45
2025-2026自引率
5.4%点击查看自引率趋势图
五年IF(数据来源于网友提供)
4.405数据由网友[bravewriter318]收集提供
h-index
138
CiteScore ( 2026年6月最新版)
CiteScoreSJRSNIPCiteScore排名6.201.4661.197学科分区排名百分位大类:Agricultural and Biological Sciences小类:Ecology, Evolution, Behavior and SystematicsQ187 / 736 88% 大类:Agricultural and Biological Sciences小类:Modeling and SimulationQ152 / 397 87% 大类:Agricultural and Biological Sciences小类:EcologyQ175 / 491 84% 大类:Agricultural and Biological Sciences小类:Computational Theory and MathematicsQ138 / 203 81% 大类:Agricultural and Biological Sciences小类:GeneticsQ2106 / 357 70% 大类:Agricultural and Biological Sciences小类:Cellular and Molecular NeuroscienceQ242 / 102 59% 大类:Agricultural and Biological Sciences小类:Molecular BiologyQ2173 / 414 58%
年文章数
853点击查看年文章数趋势图
Gold OA文章占比
99.96%
研究类文章占比:文章 ÷(文章 + 综述)
99.41%

INDEXING

分区、收录与风险

WOS期刊JCR分区 ( 2025-2026年最新版)
注册或登录后,查看WOS分区等级
期刊分区表预警名单
2026年03月发布的新锐学术版:不在预警名单中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
SCI期刊收录coverage
Science Citation Index Expanded (SCIE) (2020年1月,原SCI撤销合并入SCIE,统称SCIE)Scopus (CiteScore)Directory of Open Access Journals (DOAJ)中科院的全球OA期刊索引(OAJ)
PubMed Central (PMC)链接
访问官方页面 ↗

SUBMISSION

投稿与评审

期刊官方网站
访问官方页面 ↗
期刊投稿网址
访问官方页面 ↗
平均审稿速度
网友分享经验:很快,2-3周
平均录用比例
网友分享经验:

证据与统计

来源:LetPub 原始详情页 ↗。投稿经验仅展示聚合统计,不公开第三方正文或用户标识。当前聚合样本:暂无。