Abstract Purpose To reveal the research hotpots and relationship among three research hot topics in biomedicine, namely CRISPR, i PS (induced Pluripotent Stem) cell and Synthetic biology. Design/methodology/approach We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis. Findings The results reveal the main research hotspots in the three topics are different, but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other. Research limitations All analyses use keywords, without any other forms. Practical implications We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions, and for promoting biomedical developments. Originality/value We chose the core keywords in three research hot topics in biomedicine by using h-index.

中文翻译：

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通过关键词共现的生物医学热点话题的一种度量方法

摘要目的揭示生物医学研究热点和CRISPR，i PS（诱导多能干）细胞和合成生物学三个研究热点之间的关系。设计/方法/方法我们使用三个指标和信息可视化来建立指标共现网络，以进行度量分析。结果结果表明，三个主题中的主要研究热点有所不同，但是三个主题中的重叠关键字表明它们是相互整合和相互作用的。研究局限性所有分析都使用关键字，没有任何其他形式。实际意义我们试图找到这三个热点话题的信息分布和结构，以揭示它们的研究现状和相互作用，并促进生物医学的发展。