GetPortalImpactFactorByIdResp(projectId=1, id=3aa812996, cover=https://img.medsci.cn/images/journal/cover/2021/TZo_202109271314580620.jpg, fullname=EPJ Data Science, abbr=EPJ DATA SCI, pyear=暂无数据, frequence=Annual, articleNumbers=387, citedSelf2015=9.8, acceptanceRate=null, submissionToAcceptance=null, averageReviewTime=暂无数据, reviewFee=null, pageFee=null, publishedRatio=2022年中国人文章占该期刊总数量12.77% (2019年为16.22%), issn=2193-1127, greenSci=https://www.greensci.net/search?kw=2193-1127, scijournal=https://www.scijournal.org/impact-factor-of-EPJ-DATA-SCI.shtml, medsciHotlightString=null, medsciHotlightRealtime=1.19, medsciHotlight=1.666, medsciHotlight5year=1.55634, citescore=6.1, hIndex=34, impactFactor=3.6, orgnization=Springer Science + Business Media, orgnizationUrl=, country=United States, countryCn=美国, isOa=1, isOaString=是, sciScie=Google Scholar|DOAJ|OCLC|Summon by ProQuest, bigclassCas=工程技术 2区, smallclassCas=工程技术 3 区, website=http://epjds.epj.org/, websiteHits=1030, guideForAuthor=http://epjdatascience.springeropen.com/submission-guidelines, guideForAuthorHits=323, submitWebsite=https://www.editorialmanager.com/epds/default.aspx, submitWebsiteHits=755, content=<p>The 21st century is currently witnessing the establishment of data-driven science as a complementary approach to the traditional hypothesis-driven method. This (r)evolution accompanying the paradigm shift from reductionism to complex systems sciences has already largely transformed the natural sciences and is about to bring the same changes to the techno-socio-economic sciences, viewed broadly.</p><p>em>EPJ Data Science offers a publication platform to address this evolution by bringing together all academic disciplines concerned with the same challenges:</p><ul style="margin: 0px 0px 0px 30px; padding: 0px; list-style: none url("../images/li.png");"><li style="padding: 2px 0px;">how to extract meaningful data from systems with ever increasing complexity</li><li style="padding: 2px 0px;">how to analyse them in a way that allows new insights</li><li style="padding: 2px 0px;">how to generate data that is needed but not yet available</li><li style="padding: 2px 0px;">how to find new empirical laws, or more fundamental theories, concerning how any natural or artificial (complex) systems work</li></ul><p>This is accomplished through experiments and simulations, by data mining or by enriching data in a novel way. The focus of this journal is on conceptually new scientific methods for analyzing and synthesizing massive data sets, and on fresh ideas to link these insights to theory building and corresponding computer simulations. As such, articles mainly applying classical statistics tools to data sets or with a focus on programming and related software issues are outside the scope of this journal.</p><p>EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital "tracks" of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.</p>, totalCites=1394, brief=EPJ DATA SCI杂志工程技术行业，暂不明确子行业的级别不明杂志, articleType=绝大部分收录论著，也接收少量其它类型文章, medsciHeat=<span style="color: #000000;">黑</span>, medsciComment=杂志水平一般，也很冷门，关注人少，审稿周期可能也不一定快，如果文章质量不佳，或时间不紧的话，可以考虑考虑。, 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=3aa812996'>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=3.38), GetImpactFactorCiteScoreListResponse(year=2018, citescore=4.34), GetImpactFactorCiteScoreListResponse(year=2019, citescore=6.5), GetImpactFactorCiteScoreListResponse(year=2020, citescore=7.0), GetImpactFactorCiteScoreListResponse(year=2023, citescore=6.1)], medsciIndexList=[GetImpactFactorMedsciIndexListResponse(year=2020, medsciHotlight=1.326), GetImpactFactorMedsciIndexListResponse(year=2021, medsciHotlight=1.584), GetImpactFactorMedsciIndexListResponse(year=2022, medsciHotlight=1.401), GetImpactFactorMedsciIndexListResponse(year=2023, medsciHotlight=1.414), GetImpactFactorMedsciIndexListResponse(year=2024, medsciHotlight=1.19)], citeScoreGradeList=[GetImpactFactorCiteScoreGradeResponse(smallClass=Mathematics - Computational Mathematics , rank=7/139), GetImpactFactorCiteScoreGradeResponse(smallClass=Mathematics - Modeling and Simulation , rank=11/259), GetImpactFactorCiteScoreGradeResponse(smallClass=Computer Science - Computer Science Applications , rank=78/569)], totalJcrAreaList=[], pmcUrl=https://www.ncbi.nlm.nih.gov/nlmcatalog?term=2193-1127[ISSN], pubmedUrl=https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=EPJ Data Science[ta], article_number=47, article_number_cn=6, earlyWarning=null, linkOutUrl=null, isJournalMember=false, unscrambleContent=null, dayViewCount=false, endexampletyle=暂无数据)