Ogawa Takaya, Iyoki Kenta, Fukushima Tomohiro, Kajikawa Yuya
Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Department of Chemical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Materials (Basel). 2017 Dec 14;10(12):1428. doi: 10.3390/ma10121428.
The field of porous materials is widely spreading nowadays, and researchers need to read tremendous numbers of papers to obtain a "bird's eye" view of a given research area. However, it is difficult for researchers to obtain an objective database based on statistical data without any relation to subjective knowledge related to individual research interests. Here, citation network analysis was applied for a comparative analysis of the research areas for zeolites and metal-organic frameworks as examples for porous materials. The statistical and objective data contributed to the analysis of: (1) the computational screening of research areas; (2) classification of research stages to a certain domain; (3) "well-cited" research areas; and (4) research area preferences of specific countries. Moreover, we proposed a methodology to assist researchers to gain potential research ideas by reviewing related research areas, which is based on the detection of unfocused ideas in one area but focused in the other area by a bibliometric approach.
如今，多孔材料领域正在广泛拓展，研究人员需要阅读大量论文才能对特定研究领域有一个“全景”了解。然而，研究人员很难获得一个基于统计数据且与个人研究兴趣相关的主观知识毫无关联的客观数据库。在此，以沸石和金属有机框架作为多孔材料的示例，应用引文网络分析对其研究领域进行比较分析。这些统计性和客观性数据有助于以下方面的分析：（1）研究领域的计算筛选；（2）特定领域研究阶段的分类；（3）“高被引”研究领域；以及（4）特定国家的研究领域偏好。此外，我们提出了一种方法，通过文献计量学方法检测一个领域中未聚焦但在另一个领域中聚焦的观点，协助研究人员通过回顾相关研究领域来获得潜在的研究思路。
