GetPortalImpactFactorByIdResp(projectId=1, id=543327361, cover=https://img.medsci.cn/20220919/1663631609033_4754896.jpeg, fullname=PATTERNS, abbr=PATTERNS, pyear=暂无数据, frequence=null, articleNumbers=222, 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=2666-3899, greenSci=https://www.greensci.net/search?kw=2666-3899, scijournal=https://www.scijournal.org/impact-factor-of-PATTERNS.shtml, medsciHotlightString=null, medsciHotlightRealtime=1.894, medsciHotlight=null, medsciHotlight5year=null, citescore=10.6, hIndex=null, impactFactor=6.5, orgnization=Cell press, orgnizationUrl=https://www.cell.com/, country=null, countryCn=, isOa=1, isOaString=是, sciScie=null, bigclassCas=null, smallclassCas=0, website=https://www.cell.com/patterns/home, websiteHits=287, guideForAuthor=https://www.cell.com/patterns/author-resources, guideForAuthorHits=292, submitWebsite=https://www.editorialmanager.com/patterns, submitWebsiteHits=258, content=<p style="color: #222222;">创刊于2020年4月，Cell Press细胞出版社旗下<strong><span style="color: #0086be;">金色开放获取数据科学期刊<em>Patterns</em></span></strong>集百家之长，为跨多个研究领域的数据相关问题提供了解决方案。本刊发表多种类型的文章，例如，意见、观点文章和综述并且也发表descriptor articles，这使得研究人员有机会发布他们的软件、数据集、工作流程甚至可以发布硬件和基础架构。</p> <p style="color: #222222;"><em>Patterns</em>现已被<strong><span style="color: #0086be;">SCI收录</span></strong>，并将于<strong><span style="color: #0086be;">2023年获得首个影响因子</span></strong>。目前<em>Patterns</em>的出版形式为月刊，每期约12篇文章，去年共发表160篇数据科学研究论文，研究主题涵盖<strong><span style="color: #0086be;">机器学习、计算机视觉、数据科学伦理学、可持续性、药物和材料发现、社会科学、基因组学等。</span></strong></p> <section style="color: #222222;"> <p><strong><span style="color: #0086bf;">ACCESSIBLE 可访问</span></strong></p> <p>好的解决方案值得广大观众关注。<em>Patterns</em>覆盖了计算机科学家、数据密集型领域的研究人员、数据管理员和政策制定者等全球广泛受众。我们坚持FAIR原则，以确保我们发布的数据、软件、工作流、算法和其他研究输出是可查找、可访问、可互操作以及可重复使用的。</p> </section> <section style="color: #222222;"> <p><span style="color: #0086bf;"><strong>BOUNDARYLESS 无边界</strong></span></p> <p><em>Patterns</em>是学术界和工业界数据密集型科学领域的数据科学家和研究人员的归属。该期刊没有固定领域，涵盖了计算、物理、生命、社会科学和人文等各学科的广泛和深度。</p> </section> <section style="color: #222222;"> <p><strong><span style="color: #0086bf;">CONSTRUCTIVE 建设性</span></strong></p> <p>好的决策需要好的数据。Patterns发表了具有理论意义和实用意义的突破性数据科学研究。我们确保通过严格的跨领域同行评审，对我们文章中所报告的研究进行质量控制。</p> <p><img class="rich_pages wxw-img" style="color: #333333;" src="https://img.medsci.cn/images/20220915/19c98c3b052c4d149fcbb0d04256d3df.jpg" alt="图片" crossorigin="anonymous" data-ratio="0.3592593" data-src="https://img.medsci.cn/images/20220915/19c98c3b052c4d149fcbb0d04256d3df.jpg" data-type="jpeg" data-w="1080" data-index="11" data-origin-display="initial" data-fail="0" /></p> </section> <div id="44f43b78-822e-46a0-bc06-439a7418c7b4" class="widget general-html none widget-none widget-compact-all" style="color: #333333;"> <div class="wrapped "> <div class="widget-body body body-none body-compact-all"> <p><em>Patterns</em> is a premium open access journal from Cell Press, publishing ground-breaking original research across the full breadth of data science. We’re all about sharing data science solutions to problems that cross domain boundaries.</p> </div> </div> </div> <div id="504a6c2c-9d5f-4543-8172-430048dda9c9" class="widget general-heading none widget-none widget-compact-all" style="color: #333333;"> <div class="wrapped "> <div class="widget-body body body-none body-compact-all"> <div class="page-heading"> <h2 style="color: black;">Accessible</h2> </div> </div> </div> </div> <div id="90293f91-565b-4f34-ba6d-716bb1270d34" class="widget general-heading none widget-none widget-compact-all" style="color: #333333;"> <div class="wrapped "> <div class="widget-body body body-none body-compact-all"> <div class="page-heading"> <h3 style="color: black;">Good solutions deserve a big audience</h3> </div> </div> </div> </div> <div id="2bdc7ece-7d5f-43e0-b0b0-e55d45a0dc50" class="widget general-html none widget-none widget-compact-all" style="color: #333333;"> <div class="wrapped "> <div class="widget-body body body-none body-compact-all"> <p><em>Patterns</em> reaches a broad, global audience of computer scientists, researchers in data intensive domains, data stewards, and policy makers. We adhere to the FAIR Principles to make sure that the data, software, workflows, algorithms, and other research outputs we publish are findable, accessible, interoperable, and reusable.</p> </div> </div> </div> <div id="88cf499a-27bd-4e68-bb9a-37e332d62777" class="widget general-heading none widget-none widget-compact-all" style="color: #333333;"> <div class="wrapped "> <div class="widget-body body body-none body-compact-all"> <div class="page-heading"> <h2 style="color: black;">Boundaryless</h2> </div> </div> </div> </div> <div id="6336c80a-145b-40f4-8efa-bdb4915bb0ee" class="widget general-heading none widget-none widget-compact-all" style="color: #333333;"> <div class="wrapped "> <div class="widget-body body body-none body-compact-all"> <div class="page-heading"> <h3 style="color: black;">Good insights fuel action in all domains</h3> </div> </div> </div> </div> <div id="4f91adfa-36e9-4dc8-9882-1bb0c86fd938" class="widget general-html none widget-none widget-compact-all" style="color: #333333;"> <div class="wrapped "> <div class="widget-body body body-none body-compact-all"> <p><em>Patterns</em> is the home for data scientists and researchers in data-intensive fields in both academia and industry. The journal shares data science solutions across the spectrum of disciplines, including computational, physical, life, and social sciences, and the humanities.</p> </div> </div> </div> <div id="18bbd004-796a-458f-b929-ffffb0fa81a3" class="widget general-heading none widget-none widget-compact-all" style="color: #333333;"> <div class="wrapped "> <div class="widget-body body body-none body-compact-all"> <div class="page-heading"> <h2 style="color: black;">Constructive</h2> </div> </div> </div> </div> <div id="20b2aad5-9402-4c61-882c-ab521d0338ea" class="widget general-heading none widget-none widget-compact-all" style="color: #333333;"> <div class="wrapped "> <div class="widget-body body body-none body-compact-all"> <div class="page-heading"> <h3 style="color: black;">Good decisions need good data</h3> </div> </div> </div> </div> <div id="53131f22-c945-47ef-92ad-01bc9aa2e19d" class="widget general-html none widget-none widget-compact-all" style="color: #333333;"> <div class="wrapped "> <div class="widget-body body body-none body-compact-all"> <p><em>Patterns</em> publishes ground-breaking data science research that is both theoretical and practical. We ensure that the research reported in our articles is quality controlled through rigorous, cross-domain peer-review.</p> </div> </div> </div> <div id="ea27b927-dda0-406c-83e9-a76cedd39daa" class="widget general-html none widget-none widget-compact-all" style="color: #333333;"> <div class="wrapped "> <div class="widget-body body body-none body-compact-all"> <p><em>Patterns</em> brings together research from across domains in academia and industry to:</p> <ul> <li>Share knowledge about how to best develop and run data science infrastructures, tools, and services</li> <li>Communicate solutions and best practices for data science algorithms and methodologies</li> <li>Discuss the human and environmental impact of decisions made using data science</li> <li>Develop new cross-disciplinary methods for efficient data analysis, processing, archiving, and use</li> </ul> <p><em>Patterns</em> publishes original research in data science, particularly focusing on solutions to the cross-disciplinary problems that all researchers face when dealing with data, and articles about datasets, software code, algorithms, infrastructures, etc., with permanent links to these research outputs. <em>Patterns</em> also promotes cross-community conversation by publishing opinion pieces and review articles.</p> <p><em>Patterns</em> is committed to the high-quality publishing values shown by its sister journals in Cell Press. <em>Patterns</em> will publish top-tier original research and provide a fair, rapid, and rigorous peer-review process via a dedicated team of professional editors, supported by the expertise of our scientific advisory board.</p> </div> </div> </div>, totalCites=1449, brief=PATTERNS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='//m.capotfarm.com/sci/submit.do?id=543327361'>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=29642, tagName=数据科学, createdHits=1), ImpactFactorTagDto(id=16006, tagName=机器学习, createdHits=1), ImpactFactorTagDto(id=41370, tagName=计算机视觉, createdHits=1)], citeScoreList=[GetImpactFactorCiteScoreListResponse(year=2023, citescore=10.6)], medsciIndexList=[GetImpactFactorMedsciIndexListResponse(year=2022, medsciHotlight=0.777), GetImpactFactorMedsciIndexListResponse(year=2023, medsciHotlight=1.007), GetImpactFactorMedsciIndexListResponse(year=2024, medsciHotlight=1.894)], citeScoreGradeList=[], totalJcrAreaList=[], pmcUrl=https://www.ncbi.nlm.nih.gov/nlmcatalog?term=2666-3899[ISSN], pubmedUrl=https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=PATTERNS[ta], article_number=144, article_number_cn=23, earlyWarning=null, linkOutUrl=null, isJournalMember=false, unscrambleContent=null, dayViewCount=false, endexampletyle=暂无数据)