A visual analysis of the current research status of evidence-based social sciences_Chinese Journal of Evidence-Based Medicine

Authors：

NIAN Tao ^1,2,3 , XU Meng ^1,2,3 , WANG Yue ¹ , LI Jieyun ^2,3 ,  LI Xiuxia ^1,2,3

1. Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou 730000, P. R. China;
2. Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, P. R. China;
3. Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou 730000, P. R. China;

Corresponding author：

LI Xiuxia, Email: lixiuxia@lzu.edu

Keywords：

Evidence-based social science; Evidence-based medicine; Bibliometric analysis; Visual analysis

DOI：

10.7507/1672-2531.202203087

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To analyze the research status and development trend of evidence-based social sciences, and to explore the synergistic relationship among branches of various fields. Methods A comprehensive search for research related to evidence-based social sciences published between the establishment of the database and September 2022 was conducted on the Web of Science, China Science Citation Database (CSCD), and Chinese Social Sciences Citation Index (CSSCI). The VOSviewer software was used to analyze the author and keywords and to perform the visualization. Results A total of 6 969 papers were included, 195 of which were in Chinese. The first paper, published in 1995, was on evidence-based management. The number of papers published on evidence-based social science research presented a trend of increasing continuously. The country with the most papers published was the United States; the institution outside China with the most papers published was McMaster University; and the institution in China with the most papers published was Sichuan University. The analysis of keywords showed that evidence-based policy, evidence-based practice, evidence-based management, and evidence-based decision-making appeared more frequently; research questions focused on evidence-based health policy development, application of big data in the context of COVID-19, evidence of climate change-induced disease, and real world research. Conclusion All the fields of evidence-based social sciences are closely related to each other in terms of research content and methods, and it presents a multi-level and multi-field crossover with evidence-based medicine. However, evidence-based social sciences in China are still in their infancy. Therefore, it is necessary to improve the methodological system of evidence-based social sciences, enrich the research content of social sciences, speed up the filling of evidence gaps in various fields, and promote the improvement and sustainable development of evidence-based social sciences.

Citation： NIAN Tao, XU Meng, WANG Yue, LI Jieyun, LI Xiuxia. A visual analysis of the current research status of evidence-based social sciences. Chinese Journal of Evidence-Based Medicine, 2023, 23(2): 203-210. doi: 10.7507/1672-2531.202203087 Copy

1.	Evidence-Based Medicine Working Group. Evidence-based medicine. A new approach to teaching the practice of medicine. JAMA, 1992, 268(17): 2420-2425.
2.	李幼平, 李静, 孙鑫, 等. 循证医学在中国的发展: 回顾与展望. 兰州大学学报(医学版), 2016, 42(1): 25-28.
3.	杨克虎. 系统评价指导手册. 北京: 人民卫生出版社, 2010.
4.	施侣元. 流行病学词典. 北京: 科学出版社, 2001.
5.	拜争刚, 齐铱, 杨克虎, 等. 循证社会科学的起源、现状及展望. 中国循证医学杂志, 2018, 18(10): 1118-1121.
6.	高凯. 文献计量分析软件VOSviewer的应用研究. 科技情报开发与经济, 2015, 25(12): 95-98.
7.	李欣茹, 赵飞飞. 基于文献计量分析软件VOSviewer的腹膜透析研究现状的可视化分析. 中国血液净化, 2021, 20(3): 161-165.
8.	杨海燕. 我国高等教育研究的热点领域及前沿——基于CSSCI数据库2004-2014年收录文献关键词共现的计量和可视化分析. 复旦教育论坛, 2015, 13(4): 46-56.
9.	杨克虎, 李秀霞, 拜争刚. 循证社会科学研究方法: 系统评价与Meta分析. 兰州: 兰州大学出版社, 2018.
10.	Walshe K, Rundall TG. Evidence-based management: from theory to practice in health care. Milbank Q, 2001, 79(3): 429-457.
11.	拜争刚, 赵坤, 刘丹, 等. 循证社会科学的推动者: Campbell协作网. 中国循证医学杂志, 2018, 18(12): 1380-1385.
12.	于菲菲, 吴骋, 马修强, 等. 循证公共卫生决策数据库的发展现状与展望. 中国卫生统计, 2013, 30(3): 448-450, 452.
13.	叶伟萍, 唐一鹏, 胡咏梅. 中国科研实力距美国有多远——基于InCites数据库的比较研究. 中国高教研究, 2013, (10): 40-44, 49.
14.	Djulbegovic B, Guyatt GH. Progress in evidence-based medicine: a quarter century on. Lancet, 2017, 390(10092): 415-423.
15.	拜争刚, 王西贝. Campbell中国联盟: 国内循证社会科学发展的有力推动者. 医学新知, 2020, 30(4): 248-251.
16.	李幼平, 李静, 孙鑫, 等. 循证医学在中国的起源与发展: 献给中国循证医学20周年. 中国循证医学杂志, 2016, 16(1): 2-6.
17.	Liu L, Li X. Intelligent predictive analysis of the performance level of discipline construction in local universities based on grey prediction. 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), 2019.
18.	张晓安, 杨庆. 高校科研能力与科研持续发展. 中国科技论坛, 2003, (6): 99-103.
19.	储节旺, 郭春侠. 共词分析法的基本原理及EXCEL实现. 情报科学, 2011, 29(6): 931-934.
20.	Chen B, Zhan H, Marszalek J, et al. Traditional Chinese medications for knee osteoarthritis pain: a meta-analysis of randomized controlled trials. Am J Chin Med, 2016, 44(4): 677-703.
21.	胡善联. 循证卫生决策研究方法介绍. 中国循证医学杂志, 2007, 7(2): 142-146.
22.	李秀霞, 韩雪梅, 杨克虎. 循证卫生政策的发展与展望. 图书与情报, 2018, (3): 43-49.
23.	杨克虎. 循证社会科学的产生、发展与未来. 图书与情报, 2018, (3): 1-10.
24.	Gurevitch J, Koricheva J, Nakagawa S, et al. Meta-analysis and the science of research synthesis. Nature, 2018, 555(7695): 175-182.
25.	武珊珊, 田金徽, 杨智荣, 等. 网络Meta分析研究进展系列(十八): 网络Meta分析的GRADE证据分级. 中国循证心血管医学杂志, 2021, 13(11): 1284-1288.
26.	Balshem H, Helfand M, Schünemann HJ, et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol, 2011, 64(4): 401-406.

1. Evidence-Based Medicine Working Group. Evidence-based medicine. A new approach to teaching the practice of medicine. JAMA, 1992, 268(17): 2420-2425.
2. 李幼平, 李静, 孙鑫, 等. 循证医学在中国的发展: 回顾与展望. 兰州大学学报(医学版), 2016, 42(1): 25-28.
3. 杨克虎. 系统评价指导手册. 北京: 人民卫生出版社, 2010.
4. 施侣元. 流行病学词典. 北京: 科学出版社, 2001.
5. 拜争刚, 齐铱, 杨克虎, 等. 循证社会科学的起源、现状及展望. 中国循证医学杂志, 2018, 18(10): 1118-1121.
6. 高凯. 文献计量分析软件VOSviewer的应用研究. 科技情报开发与经济, 2015, 25(12): 95-98.
7. 李欣茹, 赵飞飞. 基于文献计量分析软件VOSviewer的腹膜透析研究现状的可视化分析. 中国血液净化, 2021, 20(3): 161-165.
8. 杨海燕. 我国高等教育研究的热点领域及前沿——基于CSSCI数据库2004-2014年收录文献关键词共现的计量和可视化分析. 复旦教育论坛, 2015, 13(4): 46-56.
9. 杨克虎, 李秀霞, 拜争刚. 循证社会科学研究方法: 系统评价与Meta分析. 兰州: 兰州大学出版社, 2018.
10. Walshe K, Rundall TG. Evidence-based management: from theory to practice in health care. Milbank Q, 2001, 79(3): 429-457.
11. 拜争刚, 赵坤, 刘丹, 等. 循证社会科学的推动者: Campbell协作网. 中国循证医学杂志, 2018, 18(12): 1380-1385.
12. 于菲菲, 吴骋, 马修强, 等. 循证公共卫生决策数据库的发展现状与展望. 中国卫生统计, 2013, 30(3): 448-450, 452.
13. 叶伟萍, 唐一鹏, 胡咏梅. 中国科研实力距美国有多远——基于InCites数据库的比较研究. 中国高教研究, 2013, (10): 40-44, 49.
14. Djulbegovic B, Guyatt GH. Progress in evidence-based medicine: a quarter century on. Lancet, 2017, 390(10092): 415-423.
15. 拜争刚, 王西贝. Campbell中国联盟: 国内循证社会科学发展的有力推动者. 医学新知, 2020, 30(4): 248-251.
16. 李幼平, 李静, 孙鑫, 等. 循证医学在中国的起源与发展: 献给中国循证医学20周年. 中国循证医学杂志, 2016, 16(1): 2-6.
17. Liu L, Li X. Intelligent predictive analysis of the performance level of discipline construction in local universities based on grey prediction. 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), 2019.
18. 张晓安, 杨庆. 高校科研能力与科研持续发展. 中国科技论坛, 2003, (6): 99-103.
19. 储节旺, 郭春侠. 共词分析法的基本原理及EXCEL实现. 情报科学, 2011, 29(6): 931-934.
20. Chen B, Zhan H, Marszalek J, et al. Traditional Chinese medications for knee osteoarthritis pain: a meta-analysis of randomized controlled trials. Am J Chin Med, 2016, 44(4): 677-703.
21. 胡善联. 循证卫生决策研究方法介绍. 中国循证医学杂志, 2007, 7(2): 142-146.
22. 李秀霞, 韩雪梅, 杨克虎. 循证卫生政策的发展与展望. 图书与情报, 2018, (3): 43-49.
23. 杨克虎. 循证社会科学的产生、发展与未来. 图书与情报, 2018, (3): 1-10.
24. Gurevitch J, Koricheva J, Nakagawa S, et al. Meta-analysis and the science of research synthesis. Nature, 2018, 555(7695): 175-182.
25. 武珊珊, 田金徽, 杨智荣, 等. 网络Meta分析研究进展系列(十八): 网络Meta分析的GRADE证据分级. 中国循证心血管医学杂志, 2021, 13(11): 1284-1288.
26. Balshem H, Helfand M, Schünemann HJ, et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol, 2011, 64(4): 401-406.

Chinese Journal of Evidence-Based Medicine

A visual analysis of the current research status of evidence-based social sciences

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