Tracking direct and indirect impact on technology and policy of transformative research via ego citation network  

作　　者：Xian Li Xiaojun Hu 

机构地区：[1]College of Computer and Information Science,Southwest University,Chongqing 400037,China [2]Medical Information Center,Zhejiang University School of Medicine,Hangzhou 310058,China

出　　处：《Journal of Data and Information Science》2024年第3期65-87,共23页数据与情报科学学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant No.71974167).

摘　　要：Purpose:The disseminating of academic knowledge to nonacademic audiences partly relies on the transition of subsequent citing papers.This study aims to investigate direct and indirect impact on technology and policy originating from transformative research based on ego citation network.Design/methodology/approach:Key Nobel Prize-winning publications(NPs)in fields of gene engineering and astrophysics are regarded as a proxy for transformative research.In this contribution,we introduce a network-structural indicator of citing patents to measure technological impact of a target article and use policy citations as a preliminary tool for policy impact.Findings:The results show that the impact on technology and policy of NPs are higher than that of their subsequent citation generations in gene engineering but not in astrophysics.Research limitations:The selection of Nobel Prizes is not balanced and the database used in this study,Dimensions,suffers from incompleteness and inaccuracy of citation links.Practical implications:Our findings provide useful clues to better understand the characteristics of transformative research in technological and policy impact.Originality/value:This study proposes a new framework to explore the direct and indirect impact on technology and policy originating from transformative research.

关 键 词：Transformative research Nobel Prize winning articles Citation networks Technological impact Policy impact 

分 类 号：G353.1[文化科学—情报学]