PLoS Computational Biology

SCI期刊
PLoS Computational Biology
中文名称:
Plos 计算生物学
期刊缩写:
PLoS Comput. Biol.
影响因子:
3.8
ISSN:
print: 1553-7358
on-line: 1553-734X
研究领域:
BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
h-index:
138
自引率:
4.70%
Gold OA文章占比:
99.67%
原创研究文献占比:
99.19%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore) || Directory of Open Access Journals (DOAJ)
期刊介绍英文:
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.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
7.101.8721.278
学科
分区
排名
百分位
大类:Mathematics
小类:Modeling and Simulation
Q1
29 / 316
91%
大类:Mathematics
小类:Ecology, Evolution, Behavior and Systematics
Q1
76 / 687
89%
大类:Mathematics
小类:Computational Theory and Mathematics
Q1
19 / 165
88%
大类:Mathematics
小类:Ecology
Q1
53 / 437
88%
大类:Mathematics
小类:Genetics
Q2
92 / 328
72%
大类:Mathematics
小类:Cellular and Molecular Neuroscience
Q2
32 / 90
64%
大类:Mathematics
小类:Molecular Biology
Q2
155 / 380
59%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
2区 生物学
2区 生化研究方法 BIOCHEMICAL RESEARCH METHODS
2区 数学与计算生物学 MATHEMATICAL & COMPUTATIONAL BIOLOGY
WOS期刊分区
学科分类
Q1BIOCHEMICAL RESEARCH METHODS
Q1MATHEMATICAL & COMPUTATIONAL BIOLOGY
历年影响因子
2021年4.4750
2022年4.3000
2023年3.8000
历年发表
2012年549
2013年642
2014年732
2015年804
2016年960
2017年689
2018年587
2019年711
2020年830
2021年1036
2022年820
投稿信息
出版语言:
English
出版国家(地区):
UNITED STATES
接受率:
100%
审稿时长:
2.5 months
论文处理费:
¥2000
出版商:
Public Library of Science
编辑部地址:
1160 BATTERY STREET, STE 100, SAN FRANCISCO, USA, CA, 94111

PLoS Computational Biology - 最新文献

Prediction of virus-host associations using protein language models and multiple instance learning.

Pub Date : 2024-11-19 DOI: 10.1371/journal.pcbi.1012597 Dan Liu, Francesca Young, Kieran D Lamb, David L Robertson, Ke Yuan

Efficient modelling of infectious diseases in wildlife: A case study of bovine tuberculosis in wild badgers.

Pub Date : 2024-11-19 DOI: 10.1371/journal.pcbi.1012592 Evandro Konzen, Richard J Delahay, Dave J Hodgson, Robbie A McDonald, Ellen Brooks Pollock, Simon E F Spencer, Trevelyan J McKinley

Reward Bases: A simple mechanism for adaptive acquisition of multiple reward types.

Pub Date : 2024-11-19 DOI: 10.1371/journal.pcbi.1012580 Beren Millidge, Yuhang Song, Armin Lak, Mark E Walton, Rafal Bogacz
查看全部
免责声明:
本页显示期刊或杂志信息,仅供参考学习,不是任何期刊杂志官网,不涉及出版事务,特此申明。如需出版一切事务需要用户自己向出版商联系核实。若本页展示内容有任何问题,请联系我们,邮箱:info@booksci.cn,我们会认真核实处理。
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信