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New Technology of Library and Information Service  2006, Vol. 1 Issue (3): 64-67    DOI: 10.11925/infotech.1003-3513.2006.03.14
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The Research and Contrast of Hospital Website Network Influence Index Between China and America
Zhu Lei
(Medical Library of Centeral South University,Changsha 410078, China)
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Abstract  

This study uses two kinds of traditional Web Impact Factor(WIF)— the Total Web Impact Factor (WIFt), the External Web Impact Factor (WIFe) and three kinds of enhanced Web Impact Factor—the Outpatient Visits’ Web Impact Factor (WIFo), the Staff Physicians and Medical Scientists’ Web Impact Factor (WIFd), the Licensed Beds’ Web Impact Factor (WIFb) to measure and analyze the network influences of several Chinese and American hospitals whose comprehensive strength ranks on the top. By using the WIFs and the results of statistical analysis, this paper tries to judge whether the Web impact of hospital websites is related with the hospitals’ comprehensive strength. In addition, this article also discusses whether the WIF can be used as an index to evaluates the network influence of the hospitals’ Websites.

Key wordsInternet      Webometric studies      Hyperlinks analysis      Web impact factors(WIF)     
Received: 30 November 2005      Published: 25 March 2006
: 

G350

 
Corresponding Authors: Zhu Lei     E-mail: zhuleimed@163.com
About author:: Zhu Lei

Cite this article:

Zhu Lei . The Research and Contrast of Hospital Website Network Influence Index Between China and America. New Technology of Library and Information Service, 2006, 1(3): 64-67.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.03.14     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V1/I3/64

1DAIFUMD.[DB/OL]http://www.daifumd.com/daifumd/html/ranking.htm.(Accessed Aug.25,2005)
2USNEWS.[DB/OL]:http://www.usnews.com/health/rankguide/rghome.htm.(Accessed Aug.25,2005)
3Smith, A.G.,Thelwall,M. .Web impact factors and university research links. Proceedings of the 8th International Conference on Scientometrics and Informetrics, Sydney Australia, 2001,2:657-664
4杨涛. 网络信息计量学实证研究:对国内20个大学网站的分析.图书情报工作,2003,(9):61-66
5卢纹岱,朱一力等.SPSS for windows从入门到精通.北京:电子工业出版社,1999:3
6Vaughan, L., Thelwall, M. Scholarly use of the Web: What are the key inducers of links to journal Web sites? Journal of the American Society for Information Science and Technology, 2003.54(1): 29-38
7邱均平,安璐.中文期刊影响因子与网络影响因子和外部链接数的关系研究.情报学报,2003,22(4):398-402

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