跨学科知识融合对D指数的影响  

Research on the Relationship between the Interdisciplinarity and Radicalness of Papers from the Perspective of Knowledge Integration

作　　者：吕冬晴 阮选敏 李江[1] 成颖[1] Lyu Dongqing;Ruan Xuanmin;Li Jiang;Cheng Ying(School of Information Management,Nanjing University,Nanjing 210023)

机构地区：[1]南京大学信息管理学院,南京210023

出　　处：《情报学报》2022年第3期263-274,共12页Journal of the China Society for Scientific and Technical Information

基　　金：国家社会科学基金项目“学术文献颠覆性创新评价的理论及实证研究”(20BTQ086)。

摘　　要：为了探索学术论文跨学科性对其创新程度的影响,本研究采用参考文献多样性指数量化前者,通过能有效区分突破性与渐进性创新的D指数量化后者。据此,本研究采集了Web of Science(WoS)收录的神经科学领域发表于1975-2011年的498162篇研究型论文,主要采用了Logistic回归分析方法,并在分析过程中控制了跨学科团队属性与学术文献计量属性对结果的干扰。研究发现,在神经科学领域,论文的跨学科性对其突破性创新具有较强的积极影响;参与跨学科合作的机构越多,越有利于产出突破性论文,但团队规模越大、涉及的国家越多,更有可能产出渐进性创新成果;未受到基金资助的论文却具有更高水平的突破性。Scientific research is becoming increasingly interdisciplinary.This study is an attempt to explore the influence of the interdisciplinarity of papers on their radicalness.Thus,498,162 papers from the neurosciences indexed in the Web of Science between 1975 to 2011 were collected,and the reference diversity index and D index were used to measure the pa‐pers’interdisciplinarity and radicalness,respectively.We employed a logistic regression method and controlled the influ‐ence of the attributes of the team and each document on the results.Our principal findings suggest that the interdisciplinari‐ty of papers has a strong and positive effect on their radicalness,and team size and international collaboration are negative‐ly associated with the D index,while an additional increase in the number of domestic institutions of a team statistically fa‐vors radical innovation.Papers without funding are also more radical than those funded with a grant.

关 键 词：跨学科研究 突破性创新 渐进性创新 LOGISTIC回归分析 

分 类 号：G353.1[文化科学—情报学]