Trujillo Caleb M, Long Tammy M
Department of Plant Biology, Michigan State University, East Lansing, MI 48824, USA.
Sci Adv. 2018 Jan 3;4(1):e1701130. doi: 10.1126/sciadv.1701130. eCollection 2018 Jan.
Specialized and emerging fields of research infrequently cross disciplinary boundaries and would benefit from frameworks, methods, and materials informed by other fields. Document co-citation analysis, a method developed by bibliometric research, is demonstrated as a way to help identify key literature for cross-disciplinary ideas. To illustrate the method in a useful context, we mapped peer-recognized scholarship related to systems thinking. In addition, three procedures for validation of co-citation networks are proposed and implemented. This method may be useful for strategically selecting information that can build consilience about ideas and constructs that are relevant across a range of disciplines.
专门研究领域和新兴研究领域很少跨越学科界限，若能借鉴其他领域的框架、方法和材料，将会受益匪浅。文献共被引分析是文献计量研究中开发的一种方法，本文展示了它作为一种帮助识别跨学科思想关键文献的方式。为了在一个有用的背景下说明该方法，我们绘制了与系统思维相关的同行认可的学术成果图谱。此外，还提出并实施了三种共被引网络验证程序。这种方法可能有助于战略性地选择信息，从而在一系列学科相关的思想和概念上建立一致性。
