Article(id=1322125559413461283, tenantId=1146029695717560320, journalId=1235980733773295621, issueId=1322125552731927464, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=1612108800000, acceptedDateStr=2021-02-01, onlineDate=1793148897268, onlineDateStr=2026-10-28, pubDate=1638201600000, pubDateStr=2021-11-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793148897268, onlineIssueDateStr=2026-10-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793148897268, creator=13701087609, updateTime=1793148897268, updator=13701087609, issue=Issue{id=1322125552731927464, tenantId=1146029695717560320, journalId=1235980733773295621, year='2021', volume='30', issue='22', pageStart='2017', pageEnd='2120', issueExtLink='null', onlineDate='null', pubDate='1638201600000', pubDateStr='2021-11-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793148895675, creator='13701087609', updateTime=1793149501548, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322128094022971944, tenantId=1146029695717560320, journalId=1235980733773295621, issueId=1322125552731927464, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322128094022971945, tenantId=1146029695717560320, journalId=1235980733773295621, issueId=1322125552731927464, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=2042, endPage=2048, ext={EN=ArticleExt(id=1322125559610593572, articleId=1322125559413461283, tenantId=1146029695717560320, journalId=1235980733773295621, language=EN, title=Analysis of technical opportunities in the field of traditional Chinese medicine antidepressants from the perspective of patent, columnId=null, journalTitle=Chinese Journal of New Drugs, columnName=null, runingTitle=null, highlight=null, articleAbstract=

Discovering and tapping technological opportunities provide important references for understanding industry R&D trends, making innovative decisions and strategic layouts. This paper constructed a model for systematically identifying technical opportunities in the field of traditional Chinese medicine antidepressants. First, the incoPat patent database was used to download the patent data in the field of traditional Chinese medicine antidepressants, and the data was put under five major technical topics. Secondly, the technical opportunities in the field of traditional Chinese medicine antidepressants were identified and analyzed from the three dimensions of innovation subject, region and market level separately. Finally five technological topics with competitive advantages and cooperation possibility unearth innovative entities were discovered, R&D hotspots and regional cooperation opportunities in various countries and provinces in China were identified, and patents with high market value and their technical contents were screened out. This study not only provides suggestions for companies to seize technological opportunities and seek technological innovation breakthroughs in the field of traditional Chinese medicine antidepressants, but also provides a basis for the government to formulate technological innovation incentive policies.

, authors=Ze-wen NIE, Wen-feng ZHANG, Qian LI, Hong-mei YUAN, authorsList=Ze-wen NIE, Wen-feng ZHANG, Qian LI, Hong-mei YUAN, authorCompany=null, correspAuthors=Hong-mei YUAN, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, 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=1322125559941943589, articleId=1322125559413461283, tenantId=1146029695717560320, journalId=1235980733773295621, language=CN, title=专利视角下中药抗抑郁领域技术机会分析, columnId=1236331162679955859, journalTitle=中国新药杂志, columnName=新药述评与论坛, runingTitle=null, highlight=null, articleAbstract=

发现和挖掘技术机会是洞悉行业研发趋势、进行创新决策和战略布局的重要参考。本文构建了一套系统识别中药抗抑郁领域技术机会的模型，首先利用incoPat专利数据库下载中药抗抑郁领域的专利数据，并将其归入5大技术主题；接下来分别从创新主体、区域和市场3个维度对中药抗抑郁领域的技术机会进行识别与分析。最终挖掘出5大技术主题下具有竞争优势和可合作的创新主体，识别出各国及我国各省份的研发热点及区域合作机会，评估出具有高市场价值的专利及其技术内容，不仅为企业在中药抗抑郁领域把握技术机会、寻求技术创新突破提供建议，同时也为政府制定技术创新激励政策提供依据。

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聂泽文，女，硕士，主要从事药品知识产权研究。E-mail：1172699915@qq.com。

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聂泽文，女，硕士，主要从事药品知识产权研究。E-mail：1172699915@qq.com。

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