Plos Computational Biology

Plos Computational Biology英文简介

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.

Plos Computational Biology中文简介

《Plos Computational Biology》是一本由PUBLIC LIBRARY SCIENCE出版商出版的专业生物期刊，该刊创刊于2005年，刊期Monthly，该刊已被国际权威数据库SCIE收录。在中科院最新升级版分区表中，该刊分区信息为大类学科：生物学 2区，小类学科：生化研究方法 2区；数学与计算生物学 2区；在JCR（Journal Citation Reports）分区等级为Q1。该刊发文范围涵盖生化研究方法等领域，旨在及时、准确、全面地报道国内外生化研究方法工作者在该领域取得的最新研究成果、工作进展及学术动态、技术革新等，促进学术交流，鼓励学术创新。2021年影响因子为4.779，平均审稿速度32 Weeks。

中科院分区最新升级版（当前数据版本：2021年12月最新升级版）

大类学科	分区	小类学科	分区	Top期刊	综述期刊
生物学	2区	BIOCHEMICAL RESEARCH METHODS 生化研究方法 MATHEMATICAL & COMPUTATIONAL BIOLOGY 数学与计算生物学	2区 2区	否	否

中科院分区最新基础版（当前数据版本：2021年12月最新基础版）

大类学科	分区	小类学科	分区	Top期刊	综述期刊
生物	2区	BIOCHEMICAL RESEARCH METHODS 生化研究方法 MATHEMATICAL & COMPUTATIONAL BIOLOGY 数学与计算生物学	2区 2区	否	否

中科院JCR分区历年趋势图

JCR分区（当前数据版本：2021-2022年最新版）

JCR分区等级	JCR所属学科	分区	影响因子
Q1	MATHEMATICAL & COMPUTATIONAL BIOLOGY	Q1	4.779
	BIOCHEMICAL RESEARCH METHODS	Q2

期刊指数

影响因子	h-index	Gold OA文章占比	研究类文章占比	OA开放访问	平均审稿速度
4.779	148	99.61%	99.68%	开放	32 Weeks

IF值(影响因子)趋势图