Interdisciplinary Knowledge Exchange in Medical Subject Research Field With Citation Network

Corresponding author: Xiaoli TANG, tang.xiaoli@imicams.ac.cn

DOI: 10.12201/bmr.202210.00009

•  

  Abstract: Based on disciplinary citation network, this paper reveals the current situation of interdisciplinary knowledge exchange in medical subject research field. Specifically, the discipline network was constructed according to the citation relationship between papers, and the key disciplines in the field were identified by using the centrality index of social network analysis. The nucleic acid vaccine subject was taken as an example, and the knowledge content of interdisciplinary citation of the core disciplines in the field was analyzed by keyword clustering.

  Key words: Interdisciplinary; Knowledge Exchange; Reference Network; Social Network Analysis; Nucleic Acid Vaccine

  Submit time: 11 October 2022

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• ZHOU JUNJIE. Research on Users’ health Knowledge Sharing Behavior in OHCs：The Impacts of Users’ Attributes and Their Positions in Social Network Structure. 2020. doi: 10.12201/bmr.202005.00246

  Hao Xiaoning, Zheng Yanhui, Sun Jiale. Research on the Social Support Network on the health of the Elderly Floating Population. 2022. doi: 10.12201/bmr.202211.00014

  Discussion on the application of 5G network technology in medical field. 2020. doi: 10.12201/bmr.202005.00244

  GAO Yang, GAO Wen-yue. Research on the cultivation strategy of network information security literacy of medical students from the perspective of big data. 2020. doi: 10.12201/bmr.202004.00030

  WANG Huaqiong, YU Dingguo, QIAN Guiping. Construction of Multi-modal Knowledge Graph Based on Medical Social Media Data. 2022. doi: 10.12201/bmr.202209.00005

  XU Hao, LI Chaofan, ZHANG Mengna, REN Peng, ZHANG Ran. Research and Simulation of Hospital Network Architecture Based on EVE-NG / XU Hao, LI Chao-fan, ZHANG Meng-na, et al // Medical Informatics. 2020. doi: 10.12201/bmr.202004.00033

  You Liping, WangShiyu. Extraction of Adverse Drug Events from Social Media Based on FrameNet Semantic Analysis YOU Liping, WANG Shiyu, LI Chaofan, College of Economics and Management, Shanxi University, Taiyuan 030006, China.. 2022. doi: 10.12201/bmr.202211.00006

  Liu Zhongyu, Yao Jia, Yu Siwei, Zheng Ziqiang, Lan Lan, Yin Jin. Research on Analysis and Countermeasures of Medical Disputes Based on Knowledge Extraction. 2021. doi: 10.12201/bmr.202110.00022

  liangjing, wenyi. Research on the Application of Knowledge Graph in Medical Aided Diagnosis. 2022. doi: 10.12201/bmr.202109.00021

  wujianguang. Research on knowledge service path of Medical Library. 2021. doi: 10.12201/bmr.202107.00019

• ID	Submit time	Number	Download
  1	2022-10-11	bmr.202210.00009V1	Download

• Public  Anonymous  To author only Submit Comments