导航合成生物学前沿:一个人工智能驱动的分析平台,用于探索研究趋势和关系
Felix Meier1,2, Thom Dixon2,3, Tom Williams1,2
1School of Natural Sciences, Macquarie University, Sydney, New South Wales 2109, Australia.
ACS synthetic biology
|August 30, 2023
概括
这项研究使用主题建模绘制合成生物学研究主题的地图. 它揭示了趋势,关键期刊和国家,有助于理解这个快速发展的科学领域.
科学领域:
- 合成生物学 合成生物学
- 生物工程是生物工程.
- 分子生物学分子生物学
背景情况:
- 合成生物学领域的快速发展导致了大量的文献.
- 难以理解学科的范围和趋势.
- 需要对研究环境进行系统分析.
研究的目的:
- 在合成生物学中全面地图化研究主题.
- 揭示子主题,它们的关系和时间趋势.
- 确定关键期刊,国家和合作模式.
主要方法:
- 主题建模应用于合成生物学文献.
- 对期刊和国家重要性进行元数据分析.
- 合作模式的共同作者网络分析.
主要成果:
- 确定关键的研究子主题及其随时间的演变.
- 在合成生物学中绘制有影响力的期刊和领先国家的地图.
- 对作者,机构和国际合作网络的可视化.
结论:
- 提供了合成生物学研究格局的结构化概述.
- 提供了对该领域的动态和协作结构的见解.
- 作为理解合成生物学和其他科学学科的基础资源.
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