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BioData Mining

出版年份:2009 年文章数:242 投稿命中率: 开通期刊会员,数据随心看

出版周期:Irregular 自引率:7.7% 审稿周期: 开通期刊会员,数据随心看

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期刊简介

期刊简介
GetPortalImpactFactorByIdResp(projectId=1, id=187d12218, cover=https://img.medsci.cn/images/journal/cover/2021/Szc_202109271314296010.jpg, fullname=BioData Mining, abbr=BIODATA MIN, pyear=2009, frequence=Irregular, articleNumbers=242, citedSelf2015=7.7, acceptanceRate=null, submissionToAcceptance=null, averageReviewTime=暂无数据, reviewFee=null, pageFee=null, publishedRatio=2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%), issn=1756-0381, greenSci=https://www.greensci.net/search?kw=1756-0381, scijournal=https://www.scijournal.org/impact-factor-of-BIODATA-MIN.shtml, medsciHotlightString=null, medsciHotlightRealtime=2.605, medsciHotlight=3.103, medsciHotlight5year=1.94905, citescore=7.9, hIndex=30, impactFactor=4.5, orgnization=BioMed Central Ltd., orgnizationUrl=http://www.biomedcentral.com/, country=United Kingdom, countryCn=英国, isOa=1, isOaString=是, sciScie=Science Citation Index Expanded|BIOSIS Previews, bigclassCas=生物 4区, smallclassCas=生物 3 区, website=http://www.biodatamining.org/, websiteHits=2416, guideForAuthor=https://biodatamining.biomedcentral.com/submission-guidelines?utm_medium=external_display&utm_source=medsci&utm_campaign=CONR_13040_DEC1_CN_CNPL_03N8M_MSJHP, guideForAuthorHits=7, submitWebsite=https://www.editorialmanager.com/bidm/default.aspx, submitWebsiteHits=898, content=BioData Mining is an open access, open peer-reviewed, informatics journal encompassing research on all aspects of Artificial Intelligence (AI), Machine Learning, and Visual Analytics, applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, genomic, metabolomic data and/or electronic health records, social determinants of health, and environmental exposure data.<br/><br/>Topical areas include, but are not limited to:<br/>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.Data types includeImagingElectronic health recordsBiobanksEnvironmental dataSocial and behavioral dataWearable devicesSocial media data, totalCites=1090, brief=BIODATA MIN杂志生物行业,暂不明确子行业的级别不明杂志, articleType=论著为主,其它类型文章约占5-10%, medsciHeat=<span style="color: #990000;">暗红</span>, medsciComment=BIODATA MIN杂志级别还可以,但是相对来说,比较冷门,关注人数偏少,有些可能是国内不太熟悉,但该杂志在国际仍然有相当知晓度的。因为缺少中国人投稿,稿源可能未必丰富,发表有可能有很大的机会哦。, medsciExplanation=MedSci期刊指数是根据中国科研工作者(含医学临床,基础,生物,化学等学科)对SCI杂志的认知度,熟悉程度,以及投稿的量等众多指标综合评定而成。当然,具体的,您还可以结合“<a href='https://www.medsci.cn/sci/submit.do?id=187d12218'>投稿经验系统</a>”,进行综合判断,这更是大家的实战经验,值得分享和参考。<br> 注意,上述MedSci期刊指数采用MedSci专利技术,由计算机系统自动计算,并给出建议,存在不准确的可能,仅供您投稿选择杂志时参考。, tags=null, citeScoreList=[GetImpactFactorCiteScoreListResponse(year=2017, citescore=1.81), GetImpactFactorCiteScoreListResponse(year=2018, citescore=2.08), GetImpactFactorCiteScoreListResponse(year=2019, citescore=5.0), GetImpactFactorCiteScoreListResponse(year=2020, citescore=6.7), GetImpactFactorCiteScoreListResponse(year=2023, citescore=7.9)], medsciIndexList=[GetImpactFactorMedsciIndexListResponse(year=2021, medsciHotlight=3.316), GetImpactFactorMedsciIndexListResponse(year=2022, medsciHotlight=2.521), GetImpactFactorMedsciIndexListResponse(year=2023, medsciHotlight=1.912), GetImpactFactorMedsciIndexListResponse(year=2024, medsciHotlight=2.088), GetImpactFactorMedsciIndexListResponse(year=2025, medsciHotlight=2.605)], citeScoreGradeList=[GetImpactFactorCiteScoreGradeResponse(smallClass=Mathematics - Computational Mathematics , rank=33/139), GetImpactFactorCiteScoreGradeResponse(smallClass=Computer Science - Computational Theory and Mathematics , rank=30/113), GetImpactFactorCiteScoreGradeResponse(smallClass=Computer Science - Computer Science Applications , rank=216/569), GetImpactFactorCiteScoreGradeResponse(smallClass=Biochemistry, Genetics and Molecular Biology - Genetics , rank=174/318), GetImpactFactorCiteScoreGradeResponse(smallClass=Biochemistry, Geneti, rank=Biochemistry, Geneti)], totalJcrAreaList=[GetImpactFactorCiteScoreGradeResponse(smallClass=MATHEMATICAL & COMPUTATIONAL BIOLOGY, rank=Q2)], pmcUrl=https://www.ncbi.nlm.nih.gov/nlmcatalog?term=1756-0381[ISSN], pubmedUrl=https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=BIODATA MINING[ta], article_number=31, article_number_cn=4, earlyWarning=null, linkOutUrl=null, isJournalMember=false, unscrambleContent=null, dayViewCount=false, endexampletyle=暂无数据)
期刊名称
BIODATA MIN/BioData Mining
ISSN
1756-0381
影响指数话题
预警等级
MedSci期刊指数
2.605 (MedSci实时期刊指数) | 1.94905 (5年期刊指数)
CiteScore值
7.9
h-index
30
h5-median
暂无数据
出版社/管理机构
杂志由 BioMed Central Ltd. 出版或管理
出版国家/地区
United Kingdom 英国
出版周期
Irregular
出版年份
2009
是否OA
被收录情况
Science Citation Index Expanded|BIOSIS Previews
JCR分区
MATHEMATICAL & COMPUTATIONAL BIOLOGY Q2
中科院分区
大类:生物 4区
小类:生物 3 区