Plos Computational Biology

Plos Computational Biology英文簡介

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中文簡介

《Plos Computational Biology》是一本由PUBLIC LIBRARY SCIENCE出版商出版的專業生物期刊，該刊創刊于2005年，刊期Monthly，該刊已被國際權威數據庫SCIE收錄。在中科院最新升級版分區表中，該刊分區信息為大類學科：生物學 2區，小類學科：生化研究方法 2區；數學與計算生物學 2區；在JCR（Journal Citation Reports）分區等級為Q1。該刊發文范圍涵蓋生化研究方法等領域，旨在及時、準確、全面地報道國內外生化研究方法工作者在該領域取得的最新研究成果、工作進展及學術動態、技術革新等，促進學術交流，鼓勵學術創新。2021年影響因子為4.779，平均審稿速度32 Weeks。

中科院分區最新升級版（當前數據版本：2021年12月最新升級版）

大類學科	分區	小類學科	分區	Top期刊	綜述期刊
生物學	2區	BIOCHEMICAL RESEARCH METHODS 生化研究方法 MATHEMATICAL & COMPUTATIONAL BIOLOGY 數學與計算生物學	2區 2區	否	否

中科院分區最新基礎版（當前數據版本：2021年12月最新基礎版）

大類學科	分區	小類學科	分區	Top期刊	綜述期刊
生物	2區	BIOCHEMICAL RESEARCH METHODS 生化研究方法 MATHEMATICAL & COMPUTATIONAL BIOLOGY 數學與計算生物學	2區 2區	否	否

中科院JCR分區歷年趨勢圖

JCR分區（當前數據版本：2021-2022年最新版）

JCR分區等級	JCR所屬學科	分區	影響因子
Q1	MATHEMATICAL & COMPUTATIONAL BIOLOGY	Q1	4.779
	BIOCHEMICAL RESEARCH METHODS	Q2

期刊指數

影響因子	h-index	Gold OA文章占比	研究類文章占比	OA開放訪問	平均審稿速度
4.779	148	99.61%	99.68%	開放	32 Weeks

IF值(影響因子)趨勢圖