所属分类:SCI期刊
Plos Computational Biology期刊基本信息
PLOS COMPUT BIOL
1553-7358
4.428
SCIE
Yes
United States
Monthly
2005
Plos Computational Biology中文介绍
《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。
Plos Computational Biology英文介绍
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.
Plos Computational Biology中科院分区
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 |
Plos Computational Biology期刊近9年JCR分区变化趋势
Plos Computational BiologyJCR分区(JCR2021-2022年分区)
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 |
Plos Computational Biology期刊近7年影响因子变化趋势
Plos Computational Biology期刊的CiteScore值(CiteScore2021-2022年CiteScore值)
CiteScore | SJR | SNIP | 学科类别 | 分区 | 排名 | 百分位 |
6.60 | 1.960 | 1.471 | 大类:Mathematics 小类:Modeling and Simulation | Q1 | 30 / 303 |
90% |
大类:Mathematics 小类:Ecology, Evolution, Behavior and Systematics | Q1 | 71 / 687 |
89% |
|||
大类:Mathematics 小类:Ecology | Q1 | 49 / 437 |
88% |
|||
大类:Mathematics 小类:Computational Theory and Mathematics | Q1 | 18 / 147 |
88% |
|||
大类:Mathematics 小类:Genetics | Q2 | 103 / 335 |
69% |
|||
大类:Mathematics 小类:Cellular and Molecular Neuroscience | Q2 | 31 / 88 |
65% |
|||
大类:Mathematics 小类:Molecular Biology | Q2 | 162 / 386 |
58% |
Plos Computational Biology期刊近7年自引率变化趋势