| 期刊全称 | In Silico Biology |
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| 涉及主题 | 生物遗传学化学生物化学基因计算机科学计算生物学数学物理人工智能医学程序设计语言基因组基因表达工程类哲学 |
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| 期刊介绍 | The considerable "algorithmic complexity" of biological systems requires a huge amount of detailed information for their complete description. Although far from being complete, the overwhelming quantity of small pieces of information gathered for all kind of biological systems at the molecular and cellular level requires computational tools to be adequately stored and interpreted. Interpretation of data means to abstract them as much as allowed to provide a systematic, an integrative view of biology. Most of the presently available scientific journals focus either on accumulating more data from elaborate experimental approaches, or on presenting new algorithms for the interpretation of these data. Both approaches are meritorious. |
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| 期刊ISSN | print: 1386-6338 on-line: 1434-3207 |
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| 历年影响因子 | | 2024年 | 2023年 | 2022年 | 2021年 | 2020年 | 2019年 | 2018年 | 2017年 |
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| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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| 历年发表/被引量 | | 年份 | 2025 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 |
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| 发表量 | 1 | 1 | 3 | 9 | 3 | 3 | 1 | 2 | 2 | 6 | 3 | 3 | | 被引量 | 0 | 1 | 5 | 26 | 28 | 30 | 91 | 11 | 9 | 47 | 0 | 4 |
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| 自引率 | N.A. |
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| 涉及的研究领域 | Computer Science-Computational Theory and Mathematics |
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| 中科院2025年分区 ? | |
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| WOS期刊分区 | |
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| 期刊主页 | https://www.iospress.nl/journal/in-silico-biology |
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| 出版商 | IOS Press |
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| 出版国家（地区） | Netherlands |
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| Gold OA文章占比 | 0.00% |
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原创研究文献占比
(排除综述) | 0.00% |
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| SCI收录类型 | Scopus (CiteScore) |
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| PubMed链接 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=1386-6338%5BISSN%5D |
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| 相关链接 | 您可以在上述网站查看该期刊的网友互动，及期刊影响力的其它指标。 |
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