GetPortalImpactFactorByIdResp(projectId=1, id=ff1126899, cover=https://img.medsci.cn/202183/1627953308457_4754896.png, fullname=Nature machine intelligence , abbr=Nat Mach Intell, pyear=2019, frequence=null, articleNumbers=288, citedSelf2015=null, acceptanceRate=null, submissionToAcceptance=null, averageReviewTime=平均2月, 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=2522-5839 , greenSci=https://www.greensci.net/search?kw=2522-5839 , scijournal=https://www.scijournal.org/impact-factor-of-Nat-Mach-Intell.shtml, medsciHotlightString=null, medsciHotlightRealtime=3.089, medsciHotlight=3.309, medsciHotlight5year=1.48, citescore=10.5, hIndex=16, impactFactor=23.8, orgnization=Springer Nature Switzerland AG, orgnizationUrl=https://www.nature.com/, country=England, countryCn=英格兰, isOa=1, isOaString=是, sciScie=null, bigclassCas=null, smallclassCas=, website=https://www.nature.com/natmachintell/, websiteHits=466, guideForAuthor=https://www.nature.com/natmachintell/for-authors, guideForAuthorHits=386, submitWebsite=https://mts-natmachintell.nature.com/, submitWebsiteHits=589, content=<div id="content" class="position-relative z-index-1" style="color: #222222;" role="main"> <div class="container cleared"> <div class="content mq1200-padded"> <div class="grid grid-9 last mq640-grid-12 mq640-last mt30 mq640-mt0"> <div class="container cleared container-type-body-content wysiwyg" data-container-type="body-content"> <p><em>Nature Machine Intelligence</em> publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. We also explore and discuss the significant impact that these fields are beginning to have on other scientific disciplines as well as many aspects of society and industry. There are countless opportunities where machine intelligence can augment human capabilities and knowledge in fields such as scientific discovery, healthcare, medical diagnostics and safe and sustainable cities, transport and agriculture. At the same time, many important questions on ethical, social and legal issues arise, especially given the fast pace of developments. <em>Nature Machine Intelligence</em> provides a platform to discuss these wide implications — encouraging a cross-disciplinary dialogue — with Comments, News Features, News & Views articles and also Correspondence.</p> <p>Like all Nature-branded journals, <em>Nature Machine Intelligence</em> is run by a team of professional <a style="color: #006699;" href="http://www.nature.com/natmachintell/about/editors">editors</a> and dedicated to a fair and rigorous peer-review process, high standards of copy-editing and production, swift publication, and editorial independence.</p> <h2>Disciplines covered in the journal</h2> <p>AI, robotics, AI and cognitive science, human-robot interaction, machine learning, deep learning, reinforcement learning, robot learning, artificial neural networks, symbolic reasoning, computer vision, natural language processing, genetic and evolutionary computing, neuro-inspired computing, humanoid robots, swarm robotics, bio-inspired robotics, soft robotics, multi-agent systems and so on.</p> </div> </div> </div> </div> </div> <footer class="composite-layer" style="color: #222222;" role="contentinfo"> <div class="u-mt-16 u-mb-16"> <div class="u-container"> <div class="u-display-flex u-flex-wrap u-justify-content-space-between"> <h2>2020 Journal Metrics</h2> <p>On this page you will find a suite of citation-based metrics for <em class="journalName">Nature Machine Intelligence</em> which provides an overview of this journal. Because the median is not subject to the distortions from outliers, we have developed and provided the 2-year Median, derived from Web of Science data and defined as the median number of citations received in 2020 for articles published in 2018 and 2019. Brief definitions for each of the metrics used to measure the influence of our journals are included below the journal metrics. More information regarding the approach taken to derive the median citation can be found <a style="color: #006699;" href="http://blogs.nature.com/ofschemesandmemes/2016/07/25/journal-metrics-handle-with-care">here</a>. Article-level metrics are also available on each article page, allowing readers to track the reach of individual papers.</p> <p>As described above, Nature Portfolio has produced the 2-year Median in the table below. All other data has been produced by Clarivate Analytics.</p> <p>Journal metrics are based on the published output, thus those that are calculated from the output in multiple years will use a partial dataset for recently launched journals.</p> <p>While the metrics presented here are not intended to be a definitive list, we hope that they will prove to be informative. The page is updated on an annual basis.</p> <p>2 year Impact Factor - 15.508</p> <p>5- year Impact Factor - 15.508</p> <p>Immediacy index - 3.769</p> <p>Eigenfactor® score - 0.003</p> <p>Article Influence Score - 5.291</p> <p>2-year Median - TBC</p> </div> </div> </div> </footer>, totalCites=6863, brief=Nat Mach Intell杂志暂不明确行业，暂不明确子行业的级别不明杂志, articleType=本刊接收类型不明, 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=ff1126899'>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=[ImpactFactorTagDto(id=16006, tagName=机器学习, createdHits=1), ImpactFactorTagDto(id=16297, tagName=深度学习, createdHits=1), ImpactFactorTagDto(id=8461, tagName=人工智能, createdHits=1)], citeScoreList=null, medsciIndexList=[GetImpactFactorMedsciIndexListResponse(year=2021, medsciHotlight=1.48), GetImpactFactorMedsciIndexListResponse(year=2022, medsciHotlight=3.864), GetImpactFactorMedsciIndexListResponse(year=2023, medsciHotlight=2.223), GetImpactFactorMedsciIndexListResponse(year=2024, medsciHotlight=3.089)], citeScoreGradeList=[], totalJcrAreaList=[], pmcUrl=https://www.ncbi.nlm.nih.gov/nlmcatalog?term=2522-5839 [ISSN], pubmedUrl=https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=Nature machine intelligence [ta], article_number=142, article_number_cn=21, earlyWarning=null, linkOutUrl=null, isJournalMember=false, unscrambleContent=null, dayViewCount=false, endexampletyle=暂无数据)