当前位置: X-MOL 学术Sci. Adv. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Document co-citation analysis to enhance transdisciplinary research.
Science Advances ( IF 13.6 ) Pub Date : 2018-Jan-01 , DOI: 10.1126/sciadv.1701130
Caleb M. Trujillo 1 , Tammy M. Long 1
Affiliation  

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.

中文翻译:

文献共引分析,以加强跨学科研究。

专门的和新兴的研究领域很少会跨越学科界限,并且会受益于其他领域提供的框架,方法和材料。文献计量引证分析是文献计量研究开发的一种方法,它被证明是一种帮助识别跨学科思想的关键文献的方法。为了在有用的情况下说明该方法,我们映射了与系统思维有关的同行认可的奖学金。此外,提出并实施了三种用于验证共同引用网络的程序。此方法对于从战略上选择可以建立关于跨学科相关思想和构想的一致性的信息可能有用。
更新日期:2018-01-04
down
wechat
bug