Understanding the productive author who published papers in medicine using National Health Insurance Database A systematic review and meta-analysis

doi:10.1097/MD.0000000000009967

Chia Nan University of Pharmacy & Science Institutional Repository > 智慧生活學院 > 醫務管理系(所) > 期刊論文 > Item 310902800/32323

請使用永久網址來引用或連結此文件: https://ir.cnu.edu.tw/handle/310902800/32323

標題:	Understanding the productive author who published papers in medicine using National Health Insurance Database A systematic review and meta-analysis
作者:	Chien, Tsair-Wei Chang, Yu Wang, Hsien-Yi
貢獻者:	Chi Mei Med Ctr, Med Res Dept Chia Nan Univ Pharm & Sci, Dept Sport Management, Coll Leisure & Recreat Management Natl Taiwan Univ, Sch Med Chi Mei Med Ctr, Nephrol Dept
關鍵字:	authorship collaboration Google Maps Medline library National Health Insurance Database social network analysis
日期:	2018-02
上傳時間:	2019-12-16 09:35:39 (UTC+8)
出版者:	LIPPINCOTT WILLIAMS & WILKINS
摘要:	Many researchers used National Health Insurance database to publish medical papers which are often retrospective, population-based, and cohort studies. However, the author's research domain and academic characteristics are still unclear. By searching the PubMed database (Pubmed.com), we used the keyword of [Taiwan] and [National Health Insurance Research Database], then downloaded 2913 articles published from 1995 to 2017. Social network analysis (SNA), Gini coefficient, and Google Maps were applied to gather these data for visualizing: the most productive author; the pattern of coauthor collaboration teams; and the author's research domain denoted by abstract keywords and Pubmed MESH (medical subject heading) terms. Utilizing the 2913 papers from Taiwan's National Health Insurance database, we chose the top 10 research teams shown on Google Maps and analyzed one author (Dr. Kao) who published 149 papers in the database in 2015. In the past 15 years, we found Dr. Kao had 2987 connections with other coauthors from 13 research teams. The cooccurrence abstract keywords with the highest frequency are cohort study and National Health Insurance Research Database. The most coexistent MESH terms are tomography, Xray computed, and positron-emission tomography. The strength of the author research distinct domain is very low (Gini < 0.40). SNA incorporated with Google Maps and Gini coefficient provides insight into the relationships between entities. The results obtained in this study can be applied for a comprehensive understanding of other productive authors in the field of academics.
關聯:	Journal of Interferon and Cytokine Research, v.97, n.8, pp.0
顯示於類別:	[醫務管理系(所)] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
10.1097-MD.0000000000009967.pdf		972Kb	Adobe PDF	300	檢視/開啟
index.html		0Kb	HTML	1171	檢視/開啟

在CNU IR中所有的資料項目都受到原著作權保護.

TAIR相關文章

資料載入中.....