摘要
随着后基因组时代的到来,基因芯片技术因其高通量、高效率以及高自动化等特点成为了最具发展潜力的高端生物技术之一。知识图谱提供了一种从海量文本数据中抽取结构化知识的手段,目前广泛应用于多个领域。论文以Web of Science平台的SCIE数据库为数据来源,利用Citespace知识图谱软件,采用内容分析法和词频分析法,分别从研究时序、研究热点、研究主题、知识结构、研究机构等多个方面对基因芯片领域的研究进展、研究现状以及研究前沿进行分析。结果表明,基因芯片文献数量呈先增后减的趋势;研究内容呈阶段性变化;突现词分布较为广泛;关键词聚类特征较为明显;文献共被引聚类维度较多;机构合作较为密切;哈佛大学等是主要的高产机构。
With the advent of the post-genome era,gene chip technology has become one of the most promising high-end biotechnologies due to its high throughput,high efficiency and high automation.The knowledge map provides a means of extracting structured knowledge from massive text data and is currently used in many fields.The article uses the SCIE database of Web of Science platform as the data source,applying content analysis method and word frequency analysis method by using the Citespace knowledge mapping software,to analyze the research progress,research status and research frontiers in the field of gene chip from the perspectives of research time series,research hotspots,research topics,knowledge structure,research institutions,etc.The results showed that the number of gene chip literature increased first and then decreased;the research content showed a phase change;the emergence of prominent words was more extensive;the keyword clustering characteristics were more obvious;the literature was cited more clustering dimensions;the organization cooperation was closer Harvard University and other major high-yield institutions.
作者
孙劲松
郑彦宁
袁芳
SUN Jingsong;ZHENG Yanning;YUAN Fang(Institute of Scientific and Technical Information of China,Beijing 100038,China)
出处
《情报工程》
2020年第1期95-109,共15页
Technology Intelligence Engineering
