Exploring all-author tripartite citation networks: A case study of gene editing

作者：

Highlights：

• Author tripartite analysis was explored by fusing with co-citation and coupling relations as a way of weighting the strength of direct citations.

• The results validate more advantages of all-author tripartite citation (A-NWDC) networks in identifying core scholars than single perspective.

• The A-NWDC networks provide a highly comprehensive and cohesive picture of main discipline structures of the entire research area.

• The intellectual structure detection results in exclusive tripartite citation networks are optimal, verified by the content attribute.

摘要

•Author tripartite analysis was explored by fusing with co-citation and coupling relations as a way of weighting the strength of direct citations.•The results validate more advantages of all-author tripartite citation (A-NWDC) networks in identifying core scholars than single perspective.•The A-NWDC networks provide a highly comprehensive and cohesive picture of main discipline structures of the entire research area.•The intellectual structure detection results in exclusive tripartite citation networks are optimal, verified by the content attribute.

论文关键词：Tripartite citation fusion,All-author counting,Intellectual structure,Gene editing

论文评审过程：Received 11 July 2018, Revised 27 July 2019, Accepted 6 August 2019, Available online 20 August 2019, Version of Record 20 August 2019.

论文官网地址：https://doi.org/10.1016/j.joi.2019.08.002