2021年最新SCI期刊影响因子查询系统
GENOMICS PROTEOMICS & BIOINFORMATICS 期刊详细信息
基本信息
期刊名称 | GENOMICS PROTEOMICS & BIOINFORMATICS GENOMICS PROTEOMICS & BIOINFORMATICS |
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期刊ISSN | 1672-0229 |
期刊官方网站 | http://gigascience.biomedcentral.com/ |
是否OA | 是 |
出版商 | Oxford University Press |
出版周期 | |
始发年份 | |
年文章数 | 133 |
最新影响因子 | 6.409(2021) |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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生物2区 | MULTIDISCIPLINARY SCIENCES 综合性期刊2区 | 否 | 否 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 6.23 | 4.726 | 2.081 |
Medicine Health Informatics |
2 / 62 | 97% |
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Computer Science Computer Science Applications |
33 / 569 | 94% |
补充信息
自引率 | 5.80% |
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H-index | 21 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | |
网友分享审稿时间 | 数据统计中,敬请期待。 |
PubMed Central (PML) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2047-217X%5BISSN%5D |
投稿指南
期刊投稿网址 | https://www.editorialmanager.com/giga/default.aspx |
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收稿范围 | GigaScience aims to revolutionize publishing by promoting reproducibility of analyses and data dissemination, organization, understanding, and use. As an open access and open-data journal, we publish ALL research objects (data, software tools and workflows) from 'big data' studies across the entire spectrum of life and biomedical sciences. These resources are managed using the FAIR Principles for scientific data management and stewardship that state that research data should be Findable, Accessible, Interoperable and Reusable. To achieve our goals, the journal has a novel publication format: one that links standard manuscript publication with an extensive database that hosts all associated data and provides data analysis tools and cloud-computing resources. GigaDB provides a direct link between the published manuscript and the relevant supporting data. We have also built GigaGalaxy, a Galaxy-based data analysis platform to host computational methods and workflows, maximizing use of the data, tools and workflows in our papers in a more accessible and reproducible environment. Our scope covers not just 'omic' type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data. |
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