Article(id=1242138517485199872, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242138495066644873, articleNumber=null, orderNo=16, doi=10.3981/j.issn.1000-7857.2020.15.014, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1592409600000, receivedDateStr=2020-06-18, revisedDate=1594137600000, revisedDateStr=2020-07-08, acceptedDate=null, acceptedDateStr=null, onlineDate=1597375164900, onlineDateStr=2020-08-14, pubDate=1597248000000, pubDateStr=2020-08-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1597375164900, onlineIssueDateStr=2020-08-14, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078500383, creator=sys-migrate, updateTime=1774078500383, updator=sys-migrate, issue=Issue{id=1242138495066644873, tenantId=1146029695717560320, journalId=1146031591421210625, year='2020', volume='38', issue='15', pageStart='1', pageEnd='148', issueExtLink='null', onlineDate='null', pubDate='1597248000000', pubDateStr='2020-08-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078495038, creator='sys-migrate', updateTime=1774078495038, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=129, endPage=137, ext={EN=ArticleExt(id=1242138522451259392, articleId=1242138517485199872, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Content evolution of emergency science popularization articles during COVID-19 epidemic: Based on the method of co-word analysis, columnId=1150494644690366681, journalTitle=Science & Technology Review, columnName=Papers, runingTitle=null, highlight=null, articleAbstract=In order to study the content evolution characteristics of emergency science popularization articles during COVID-19 epidemic, articles of WeChat official account Science_China, DingXiangYiSheng, zgjkdt, yjglbwx from January to February 29th 2020 are taken as the research object. This paper extracts the key words of emergency science popularization articles and analyzes the network characteristics of the key words of the articles in four time periods using the method of co-word analysis. It is found that the main content of emergency science popularization is protection, with masks, frequent hand-washing, ventilation and health monitoring as the main protective measures, and less-going-out as the main suggestions. Besides general WeChat users, science popularization content is also aimed at specific groups. With the epidemic being gradually under control, the derivative words related to protective measures gradually become less, less-going-out becomes less-aggregation, and the homebased protection gradually turns into the protection of return to work and office space. Scientists have made great contributions to the popularization during the epidemic, and scientific literacy is needed to convert scientific research results into popular science knowledge., authors=YANG Jiaying, ZHENG Nian, authorsList=YANG Jiaying, ZHENG Nian, authorCompany=China Research Institute for Science Popularization, Beijing 100081, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=iN38GrAy5TCIBGhW5Unnaw==, pdfFileSize=6075787, 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=1242138520815477265, articleId=1242138517485199872, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=新冠肺炎疫情期间应急科普推文内容的演变——基于共词分析方法, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=为研究新冠肺炎疫情期间应急科普内容的演变特点，以2020年1月20日至2月29日期间《科普中国》《丁香医生》以及中国疾病预防控制中心、国家应急管理部4个微信公众号应急科普推文为研究对象，提取推文关键词，通过共词分析法对划分的4个时间段内应急科普推文内容关键词进行网络特征解析。研究发现，应急科普内容以防护为主，以戴口罩、勤洗手、通风以及健康监测等为主要防护措施，少外出为主要建议，科普内容除面向普通微信用户外还面向特定群体。随着疫情逐渐被控制，防护措施相关的衍生词慢慢变少，少外出演变成少聚集，以居家为主的防护慢慢转变成复工防护和办公场所的防护。科学家为此次疫情科普做出巨大贡献，科研成果转换成科普知识需要一定的科学素养。, authors=杨家英, 郑念, authorsList=杨家英, 郑念, authorCompany=中国科普研究所, 北京 100081, correspAuthors=null, authorNote=杨家英,博士,研究方向为突发事件应急科普,电子信箱:yangjy@crisp.org.cn, correspAuthorsNote=郑念(通信作者),研究员,研究方向为科普理论和科普效果监测评估等,电子信箱:zhengnian515@163.co, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=nFRCMVniT9iPkvYKTiimvA==, pdfFileSize=6075787, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, 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