Article(id=1242139203295846713, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139180290089176, articleNumber=null, orderNo=21, doi=10.3981/j.issn.1000-7857.2021.10.014, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1606665600000, receivedDateStr=2020-11-30, revisedDate=1608739200000, revisedDateStr=2020-12-24, acceptedDate=null, acceptedDateStr=null, onlineDate=1623211990330, onlineDateStr=2021-06-09, pubDate=1622131200000, pubDateStr=2021-05-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1623211990330, onlineIssueDateStr=2021-06-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078663893, creator=sys-migrate, updateTime=1774078663893, updator=sys-migrate, issue=Issue{id=1242139180290089176, tenantId=1146029695717560320, journalId=1146031591421210625, year='2021', volume='39', issue='10', pageStart='1', pageEnd='140', issueExtLink='null', onlineDate='null', pubDate='1622131200000', pubDateStr='2021-05-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078658408, creator='sys-migrate', updateTime=1774078658408, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=116, endPage=123, ext={EN=ArticleExt(id=1242139209289511686, articleId=1242139203295846713, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=The distribution characteristics of inter-provincial mobility of high level researchers in China, columnId=1242139205724353269, journalTitle=Science & Technology Review, columnName=Committing to upgrade the home of science and technology workers, runingTitle=null, highlight=null, articleAbstract=The flow of high-level scientific and technological talents is a topic thathas attracted much attention. The paper analyzes the distribution characteristics and patterns of the inter-provincial mobility in the 2014-2019 ESI of high level researchers in China. It is shown that the distribution of high level scientists in China is significantly unbalanced, mainly concentrated in the areas with developed economic and science-education resources such as Beijing, Jiangsu, and Shanghai; the net inflow of high level scientists is mainly concentrated in Guangdong, Jiangsu and Sichuan provinces, the net outflow is mainly concentrated in the regions such as Jilin Province, Anhui Province and Liaoning Province; the net inflow institutions include mainly the University of Electronic Science and Technology of China, Soochow University and Fudan University, and the net outflow institutions include Chinese Academy of Sciences and Peking University. However, due to the large number of high level scientists in the CAS, the outflow proportion of the CAS is not significant. In the end, the results of this paper will help managers formulate the talent policies, improve the talent system, properly allocate scientific research resources, and utilize the global elite scientific and technological talent resources., authors=JIN Junbao^1,2, QU Jiansheng¹, WU Xinnian¹, ZHENG Yurong¹, BAI Guangzu¹, authorsList=JIN Junbao, QU Jiansheng, WU Xinnian, ZHENG Yurong, BAI Guangzu, authorCompany=1. Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
2. Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100049, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=qo3Tjl/7wgEHkIOUlMOxrw==, pdfFileSize=2900857, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242139206831645005, articleId=1242139203295846713, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=中国高层次科技人才省际流动的特征, columnId=1242139204977767148, journalTitle=科技导报, columnName=坚持升级科技工作者之家, runingTitle=null, highlight=null, articleAbstract=以2014—2019年中国内地（未包括香港、澳门和台湾地区）入选高被引科学家为高层次人才研究对象，通过挖掘高层次人才个人履历信息，构建科学家迁移特征信息数据库，从跨省域流动、省内流动及机构流动等多层次、多维度对高层次人才省际流动特征进行研究。研究结果表明，中国高被引科学家在各地区间分布差异非常明显，主要集中在北京、江苏、上海等经济与科教资源发达的地区；高被引科学家净流入主要集中在广东省、江苏省和四川省等东部发达地区，净流出主要集中在吉林省、安徽省和辽宁省等中西部和东北地区；从机构来看，净流入主要集中在电子科技大学、苏州大学和复旦大学，净流出集中在中国科学院、北京大学等，但由于中国科学院高被引科学家入选人数多，故中国科学院净流出占其入选总人数的比例并不高。, authors=靳军宝^1,2, 曲建升¹, 吴新年¹, 郑玉荣¹, 白光祖¹, authorsList=靳军宝, 曲建升, 吴新年, 郑玉荣, 白光祖, authorCompany=1. 中国科学院西北生态环境资源研究院, 兰州 730000;
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