2021-2022年度最新SCI期刊列表数据已经更新，欢迎查询！ 如果您对期刊系统有任何需求或者问题，欢迎反馈给我们。
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| 期刊名字 | PLoS Computational Biology PLOS COMPUT BIOL LetPub评分 7.5
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声誉 8.2 影响力 6.7 速度 9.1 | |||||||||||||||||||||||||||||||||||||||||
| 期刊ISSN | 1553-734X | 微信扫码收藏此期刊 | ||||||||||||||||||||||||||||||||||||||||
| E-ISSN | 1553-7358 | |||||||||||||||||||||||||||||||||||||||||
| 2021-2022最新IF （数据来源于搜索引擎） | 登录后查看IF和趋势图 | |||||||||||||||||||||||||||||||||||||||||
| 2021-2022自引率 | 5.50%登录查看自引率趋势图 | |||||||||||||||||||||||||||||||||||||||||
| h-index | 148 | |||||||||||||||||||||||||||||||||||||||||
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| 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. | |||||||||||||||||||||||||||||||||||||||||
| 期刊官方网站 | http://www.ploscompbiol.org/home.action | |||||||||||||||||||||||||||||||||||||||||
| 期刊投稿网址 | https://www.editorialmanager.com/PCOMPBIOL | |||||||||||||||||||||||||||||||||||||||||
| 是否OA开放访问 | Yes | |||||||||||||||||||||||||||||||||||||||||
OA期刊相关信息 | 文章处理费：需要（ USD2575; ） 文章处理费豁免：查看说明 其他费用：没有 期刊主题关键词：computational biology、biological systems、biological modelling 相关链接：Aims & ScopeAuthor InstructionsEditorial BoardPeer review | |||||||||||||||||||||||||||||||||||||||||
| 通讯方式 | PUBLIC LIBRARY SCIENCE, 185 BERRY ST, STE 1300, SAN FRANCISCO, USA, CA, 94107 | |||||||||||||||||||||||||||||||||||||||||
| 出版商 | Public Library of Science | |||||||||||||||||||||||||||||||||||||||||
| 涉及的研究方向 | 生物-生化研究方法 | |||||||||||||||||||||||||||||||||||||||||
| 出版国家或地区 | UNITED STATES | |||||||||||||||||||||||||||||||||||||||||
| 出版语言 | English | |||||||||||||||||||||||||||||||||||||||||
| 出版周期 | Monthly | |||||||||||||||||||||||||||||||||||||||||
| 出版年份 | 2005 | |||||||||||||||||||||||||||||||||||||||||
| 年文章数 | 925登录查看年文章数趋势图 | |||||||||||||||||||||||||||||||||||||||||
| Gold OA文章占比 | 99.61% | |||||||||||||||||||||||||||||||||||||||||
| 研究类文章占比： 文章 ÷（文章 + 综述） | 99.68% | |||||||||||||||||||||||||||||||||||||||||
| WOS期刊SCI分区 （ 2021-2022年最新版） | WOS分区等级：1区
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| 中科院《国际期刊预警 名单（试行）》名单 | 2021年12月发布的2021版：不在预警名单中 2021年01月发布的2020版：不在预警名单中 | |||||||||||||||||||||||||||||||||||||||||
| 中科院SCI期刊分区 （ 2021年12月最新基础版） | 登录查看中科院JCR分区趋势图
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| 中科院SCI期刊分区 （ 2021年12月最新升级版） |
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| 中科院SCI期刊分区 （ 2020年12月旧的升级版） |
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| SCI期刊收录coverage | Science Citation Index Expanded (SCIE) Scopus (CiteScore) Directory of Open Access Journals (DOAJ) | |||||||||||||||||||||||||||||||||||||||||
| PubMed Central (PMC)链接 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1553-734X%5BISSN%5D | |||||||||||||||||||||||||||||||||||||||||
| 平均审稿速度 | 网友分享经验： 平均3.0个月 | |||||||||||||||||||||||||||||||||||||||||
| 平均录用比例 | 网友分享经验： 很难 | |||||||||||||||||||||||||||||||||||||||||
| 期刊常用信息链接 |
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| 登录查看自引率趋势图 |
| 登录查看中科院JCR分区趋势图 |
| 登录查看年文章数趋势图 |
| 中国学者近期发表的论文 | |
| 1. | Characteristics of measles epidemics in China (1951-2004) and implications for elimination: A case study of three key locations. Author: Yang W1, Li J2, Shaman J3. Journal: PLoS Comput Biol. 2019 Feb 4;15(2):e1006806. doi: 10.1371/journal.pcbi.1006806. eCollection 2019 Feb. PubMed DOI |
| 2. | A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex. Author: Zhang Q1, Hu X1,2, Hong B3, Zhang B1,2. Journal: PLoS Comput Biol. 2019 Feb 11;15(2):e1006766. doi: 10.1371/journal.pcbi.1006766. eCollection 2019 Feb. PubMed DOI |
| 3. | A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications. Author: Peng H1, Zeng X1, Zhou Y2, Zhang D1, Nussinov R3,4, Cheng F5,6,7. Journal: PLoS Comput Biol. 2019 Feb 19;15(2):e1006772. doi: 10.1371/journal.pcbi.1006772. eCollection 2019 Feb. PubMed DOI |
| 4. | Spatial clustering and common regulatory elements correlate with coordinated gene expression. Author: Zhang J1,2, Chen H1, Li R1, Taft DA2, Yao G3, Bai F1, Xing J2,4. Journal: PLoS Comput Biol. 2019 Mar 1;15(3):e1006786. doi: 10.1371/journal.pcbi.1006786. eCollection 2019 Mar. PubMed DOI |
| 5. | Determination of effective synaptic conductances using somatic voltage clamp. Author: Li S1, Liu N2, Yao L2, Zhang X2, Zhou D1, Cai D1,3,4. Journal: PLoS Comput Biol. 2019 Mar 5;15(3):e1006871. doi: 10.1371/journal.pcbi.1006871. eCollection 2019 Mar. PubMed DOI |
| 6. | An enriched network motif family regulates multistep cell fate transitions with restricted reversibility. Author: Ye Y1, Kang X2,3, Bailey J1, Li C2,4, Hong T1,5. Journal: PLoS Comput Biol. 2019 Mar 7;15(3):e1006855. doi: 10.1371/journal.pcbi.1006855. eCollection 2019 Mar. PubMed DOI |
| 7. | OptRAM: In-silico strain design via integrative regulatory-metabolic network modeling. Author: Shen F1,2,3, Sun R1,2, Yao J2, Li J1,2, Liu Q2, Price ND4, Liu C2, Wang Z1,2. Journal: PLoS Comput Biol. 2019 Mar 8;15(3):e1006835. doi: 10.1371/journal.pcbi.1006835. eCollection 2019 Mar. PubMed DOI |
| 8. | LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities. Author: Wang L1, You ZH1, Chen X2, Li YM3, Dong YN4, Li LP1, Zheng K1. Journal: PLoS Comput Biol. 2019 Mar 27;15(3):e1006865. doi: 10.1371/journal.pcbi.1006865. eCollection 2019 Mar. PubMed DOI |
| 9. | Evolutionary multiplayer games on graphs with edge diversity. Author: Su Q1,2, Zhou L1, Wang L1. Journal: PLoS Comput Biol. 2019 Apr 1;15(4):e1006947. doi: 10.1371/journal.pcbi.1006947. eCollection 2019 Apr. PubMed DOI |
| 10. | Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs. Author: Liang C1, Yu S1, Luo J2. Journal: PLoS Comput Biol. 2019 Apr 1;15(4):e1006931. doi: 10.1371/journal.pcbi.1006931. eCollection 2019 Apr. PubMed DOI |
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