BioData Mining 期刊简介
BioData Mining is an open access, open peer-reviewed journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data.
Topical areas include, but are not limited to:
-Development, evaluation, and application of novel data mining and machine learning algorithms.
-Adaptation, evaluation, and application of traditional data mining and machine learning algorithms.
-Open-source software for the application of data mining and machine learning algorithms.
-Design, development and integration of databases, software and web services for the storage, management, retrieval, and analysis of data from large scale studies.
-Pre-processing, post-processing, modeling, and interpretation of data mining and machine learning results for biological interpretation and knowledge discovery.
生物数据挖掘是一种开放获取，开放同行评审的期刊，涵盖了应用于高维生物和生物医学数据的数据挖掘的各个方面的研究，重点是从大规模遗传，转录组，基因组，蛋白质组学，和代谢组学数据。
主题领域包括但不限于:
-新型数据挖掘和机器学习算法的开发，评估和应用。
-适应，评估，以及传统的数据挖掘和机器学习算法的应用。
-开源软件，用于数据挖掘和机器学习算法的应用。
-数据库、软件和web服务的设计、开发和集成，以及对来自大规模研究的数据进行分析。
-对数据挖掘和机器学习结果进行预处理，后处理，建模和解释，以进行生物学解释和知识发现。
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期刊ISSN
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1756-0381 |
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影响指数
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2.497 |
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最新CiteScore值
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6.70 查看CiteScore评价数据 |
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最新自引率
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0.00% |
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官方指定润色网址
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https://www.deeredit.com/?type=ss1 |
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投稿语言要求
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Improve the quality of the paper, eliminate grammar and spelling errors, increase readability, ensure accurate communication of viewpoints, enhance academic reputation, and increase the chances of the paper being accepted. 建议点击这个网址：https://www.deeredit.com/?type=ss2，资深审稿专家为您评估稿件质量，提供针对性改进建议，最终可助您极大提升目标期刊录用率 |
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期刊官方网址
hot |
https://www.peipusci.com/?type=9 |
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杂志社征稿网址
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https://www.peipusci.com/?type=10 |
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通讯地址
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CAMPUS, 4 CRINAN ST, LONDON, ENGLAND, N1 9XW |
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偏重的研究方向（学科）
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MATHEMATICAL & COMPUTATIONAL BIOLOGY- |
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出版周期
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出版年份
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2008 |
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出版国家/地区
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ENGLAND |
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是否OA
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Yes |
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SCI期刊coverage
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Science Citation Index Expanded（科学引文索引扩展） |
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NCBI查询
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PubMed Central (PMC)链接 全文检索(pubmed central) |
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最新中科院JCR分区
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大类(学科)
小类(学科)
综述期刊
生物
MATHEMATICAL & COMPUTATIONAL BIOLOGY(数学与计算生物学)3区
否
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最新的影响因子
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2.497 | |||||
| 最新公布的期刊年发文量 |
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| 总被引频次 | 23 | |||||
| 影响因子趋势图 |
近年的影响因子趋势图（整体平稳趋势）
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2022年预警名单预测最新
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最新CiteScore值
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6.70
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| 年文章数 | 18 | ||||||||||||||||||||||||||||||
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SJR
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1.009 | ||||||||||||||||||||||||||||||
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SNIP
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1.458 | ||||||||||||||||||||||||||||||
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CiteScore排名
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| CiteScore趋势图 |
CiteScore趋势图
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本刊同领域相关期刊
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| 期刊名称 | IF值 |
| Molecular Informatics | 3.319 |
| GENETIC EPIDEMIOLOGY | 2.114 |
| Journal of Biomedical Semantics | 2.138 |
| Mathematical Biosciences and Engineering | 2.059 |
| Computational and Mathematical Methods in Medicine | 2.216 |
| BioData Mining | 2.497 |
| ACTA BIOTHEORETICA | 1.756 |
| BMC Systems Biology | 1.927 |
| Theoretical Biology and Medical Modelling | 2.408 |
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本刊同分区等级的相关期刊
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| 期刊名称 | IF值 |
| Molecular Informatics | 3.319 |
| BioData Mining | 2.497 |
| Database-The Journal of Biological Databases and Curation | 3.416 |
| International Journal of Biomathematics | 2.032 |
| 分享者 | 点评内容 |
