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Published on: November 12, 2012
Navigating the Frontier of Synthetic Biology: An AI-Driven Analytics Platform for Exploring Research Trends and
Felix Meier1,2, Thom Dixon2,3, Tom Williams1,2
1School of Natural Sciences, Macquarie University, Sydney, New South Wales 2109, Australia.
Abstract:
The field of synthetic biology has experienced rapid growth in recent years, leading to an overwhelming amount of literature that can make it difficult to comprehend the scope and trends of the discipline. In this study, we employ topic modeling to comprehensively map research topics within synthetic biology, revealing subtopics and their relationships, as well as trends over time. We utilize metadata to identify the most significant journals and countries in the field and discuss potential policy impact on the research output. In addition, we investigate co-authorship networks to analyze collaborations among authors, institutions, and countries. We believe that our findings could serve as a valuable resource for gaining a deeper understanding of synthetic biology and provide a foundation for analyzing other disciplines.
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