[1]黄尤江,郑利荣,贺 莲,等.不同省市高引用医学基金论文计量分析及其对人才建设的启示[J].医学信息,2021,34(24):15-20.[doi:10.3969/j.issn.1006-1959.2021.24.004]
　HUANG You-jiang,ZHENG Li-rong,HE Lian,et al.Quantitative Analysis of Highly Cited Medical Fund Papers in Different Provinces and Cities and its Enlightenment to Talent Construction[J].Medical Information,2021,34(24):15-20.[doi:10.3969/j.issn.1006-1959.2021.24.004]
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不同省市高引用医学基金论文计量分析及其对人才建设的启示()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
34卷
期数:
2021年24期
页码:
15-20
栏目:
出版日期:
2021-12-15

文章信息/Info

Title:
Quantitative Analysis of Highly Cited Medical Fund Papers in Different Provinces and Cities and its Enlightenment to Talent Construction
文章编号:
1006-1959（2021）24-0015-06
作者:
黄尤江; 郑利荣; 贺 莲; 等
（广东省医学学术交流中心/广东省医学情报研究所查新咨询部1，办公室2，广东 广州 510180）
Author(s):
HUANG You-jiang; ZHENG Li-rong; HE Lian; et al.
(Novelty Search Consulting Department1,Office2,Guangdong Medical Academic Exchange Center/Guangdong Institute of Medical Information,Guangzhou 510180,Guangdong,China)
关键词:
基金论文; 高引用论文; 引用频次
Keywords:
Fund papers; Highly cited papers; Citation frequency
分类号:
G353.1
DOI:
10.3969/j.issn.1006-1959.2021.24.004
文献标志码:
A
摘要:
目的 对2007-2016年不同省市高引用医学基金论文进行计量分析，探讨其结果对人才队伍建设的启示。方法 基于文献计量学方法，构建检索策略获取CNKI与WOS/SCI中我国不同省市高引用医学基金论文，采用可视化工具、Excel软件及图表对广东省及北京市、上海市、浙江省及山东省的医学基金论文进行分析，分析维度包括引用频次、作者分布及研究方向等常用文献计量学指标。结果 CNKI数据显示，北京市基金论文总体质量（单篇最高引用559次，总体平均被引次数170次）较高；上海市单篇最高引用次数（284次）虽不及广东省基金论文（479次），但高被引基金论文数量（75篇vs 58篇）和平均引用次数（145次vs 138次）却略胜一筹；浙江省和山东省还有相当大的发展空间。从广东省数据看，基金类别以国家自然科学基金、省自然科学基金及省医学科研基金为主，发文机构以医科院校及其附属医院为主。WOS/SCI数据显示，研究方向主要为基因与医学材料，而广东省内基因研究在国际上有着重要地位。结论 我国各省市高引用医学基金论文主要研究方向有差异性，且各指标分布有不均衡现象，表现为人才和资源的地区差异性。应加强医疗资源下沉基层及医联体、区域医疗建设，建立更加科学、细化和切合实际的用人制度与考评体系，以推动医学学科的科学发展。
Abstract:
Objective To conduct a bibliometric analysis of the highly cited medical funded papers of different provinces or cities from 2007 to 2016, and to discuss the enlightenment of the results on the construction of talent team.Methods Based on bibliometric methods, retrieval strategies were constructed to obtain highly cited medical fund papers in different provinces and cities in China from CNKI and WOS/SCI. Visual tools, Excel software and charts were used to analyze medical fund papers in Guangdong Province and Beijing, Shanghai, Zhejiang Province and Shandong Province. The analysis dimensions included commonly used bibliometric indicators such as citation frequency, author distribution and research direction.Results The results of CNKI data showed that the overall quality of fund papers in Beijing (the maximum number of citations per article was 559 times, and the overall average number of citations was 170 times) was relatively high. The highest number of citations per paper (284 times) in Shanghai was less than that of Guangdong fund papers (479 times), but the number of highly cited fund papers (75 times vs 58 times) and the average number of citations (145 times vs 138 times) were slightly better. Zhejiang Province and Shandong Province had considerable room for development. According to the data of Guangdong Province, the fund category was dominated by the National Natural Science Foundation of China, the Provincial Natural Science Foundation of China and the Provincial Medical Research Fund, and the publishing institutions were mainly medical colleges and their affiliated hospitals. WOS / SCI data show that the research direction is mainly gene and medical materials, and gene research in Guangdong Province had an important position in the world.Conclusion The main research directions of highly cited medical fund papers in various provinces and cities in China are different, and the distribution of each index is unbalanced, which is manifested as regional differences in talents and resources. In order to promote the scientific development of medical science, it is necessary to strengthen the construction of medical resources at the grassroots level, medical associations and regional medical services, and establish a more scientific, detailed and practical employment system and evaluation system.

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更新日期/Last Update: 1900-01-01