合成生物学研究前沿的识别与趋势预测

Recognizing research fronts and trends of synthetic biology

目的通过科学知识图谱的方法识别合成生物学研究前沿。方法应用参考文献共被引聚类、文献耦合聚类,通过VOSviewer绘制了合成生物学领域科学知识图谱,研究近两年文献对于聚类结构的改变。结果文献同被引分析生成7个聚类,文献耦合分析形成了32个聚类,近两年文献的加入改变了聚类原有的结构。结论耦合分析聚类比较适合研究前沿识别,合成生物工程、RNA表达、生物骨架、生物文库、生物组件等研究为该领域研究前沿。

Objective To identify research fronts of synthetic biology by mapping knowledge domains. Methods The research articles were clustered by co-cited analysis and bibliographic coupling while research domains of synthetic biology were mapped using software VOSviewer. Results There were seven research clusters by co-cited analysis and 32 clusters by bibliographic coupling. The articles published in the last two years have changed the structure of research domains. Conclusion Bibliographic coupling is better at recognizing research fronts. Synthetic bioengineering,RNA expression,biology bone,biology library,and biology parts are research fronts of synthetic biology.