Research Performance Evaluation in China: A Big Data Analysis

被引:6
作者
Feng, Guangchao Charles [1 ]
机构
[1] Shenzhen Univ, Coll Commun, 3688 Nanhai Ave, Shenzhen 518060, Guangdong, Peoples R China
来源
SAGE OPEN | 2020年 / 10卷 / 01期
关键词
big data; research performance; China; grant; JOURNAL IMPACT FACTOR; INTERNATIONAL COLLABORATION; CITATION; SCIENCE; BIBLIOMETRICS; LIMITATIONS; INDICATORS;
D O I
10.1177/2158244019901257
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
China's scientific achievement has received considerable international attention due to a large amount of research and development (R&D) spending. This article aims to study the performance of China's R&D expenditures (in the form of research funding) by examining the research performance of individual researchers based on bibliometric measures. This study concludes that research practice is not merely determined by capital possessed. Besides, international collaboration primarily accounts for research performance of scholars, whereas research funding and publishing in Chinese-based journals do not impact research performance significantly.
引用
收藏
页数:11
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