Literature DB >> 16059427

Risk markers for disappearance of pediatric Web resources.

Angel A Hernández-Borges1, Alejandro Jiménez-Sosa, Maria L Torres-Alvarez de Arcaya, Pablo Macías-Cervi, Maria A Gaspar-Guardado, Ana Ruíz-Rabaza.   

Abstract

OBJECTIVES: The authors sought to find out whether certain Webometric indexes of a sample of pediatric Web resources, and some tests based on them, could be helpful predictors of their disappearance.
METHODS: The authors performed a retrospective study of a sample of 363 pediatric Websites and pages they had followed for 4 years. Main measurements included: number of resources that disappeared, number of inbound links and their annual increment, average daily visits to the resources in the sample, sample compliance with the quality criteria of 3 international organizations, and online time of the Web resources.
RESULTS: On average, 11% of the sample disappeared annually. However, 13% of these were available again at the end of follow up. Disappearing and surviving Websites did not show differences in the variables studied. However, surviving Web pages had a higher number of inbound links and higher annual increment in inbound links. Similarly, Web pages that survived showed higher compliance with recognized sets of quality criteria than those that disappeared. A subset of 14 quality criteria whose compliance accounted for 90% of the probability of online permanence was identified. Finally, a progressive increment of inbound links was found to be a marker of good prognosis, showing high specificity and positive predictive value (88% and 94%, respectively).
CONCLUSIONS: The number of inbound links and annual increment of inbound links could be useful markers of the permanence probability for pediatric Web pages. Strategies that assure the Web editors' awareness of their Web resources' popularity could stimulate them to improve the quality of their Websites.

Mesh:

Year:  2005        PMID: 16059427      PMCID: PMC1175803     

Source DB:  PubMed          Journal:  J Med Libr Assoc        ISSN: 1536-5050


  9 in total

1.  Dynamic model for the popularity of websites.

Authors:  Chang-Yong Lee; Seungwhan Kim
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-03-01

2.  Traffic-based feedback on the web.

Authors:  Jonathan Aizen; Daniel Huttenlocher; Jon Kleinberg; Antal Novak
Journal:  Proc Natl Acad Sci U S A       Date:  2004-01-06       Impact factor: 11.205

3.  User preference as quality markers of paediatric web sites.

Authors:  Angel A Hernández-Borges; Pablo Macías-Cervi; Asunción Gaspar-Guardado; María Luisa Torres-Alvarez De Arcaya; Ana Ruíz-Rabaza; Alejandro Jiménez-Sosa
Journal:  Med Inform Internet Med       Date:  2003-09

4.  Strong regularities in world wide web surfing

Authors: 
Journal:  Science       Date:  1998-04-03       Impact factor: 47.728

5.  Assessing, controlling, and assuring the quality of medical information on the Internet: Caveant lector et viewor--Let the reader and viewer beware.

Authors:  W M Silberg; G D Lundberg; R A Musacchio
Journal:  JAMA       Date:  1997-04-16       Impact factor: 56.272

6.  Guidelines for medical and health information sites on the internet: principles governing AMA web sites. American Medical Association.

Authors:  M A Winker; A Flanagin; B Chi-Lum; J White; K Andrews; R L Kennett; C D DeAngelis; R A Musacchio
Journal:  JAMA       Date:  2000 Mar 22-29       Impact factor: 56.272

7.  Can examination of WWW usage statistics and other indirect quality indicators distinguish the relative quality of medical web sites?

Authors:  A A Hernández-Borges; P Macías-Cervi; M A Gaspar-Guardado; M L Torres-Alvarez de Arcaya; A Ruiz-Rabaza; A Jiménez-Sosa
Journal:  J Med Internet Res       Date:  1999 Jul-Sep       Impact factor: 5.428

8.  eEurope 2002: Quality Criteria for Health Related Websites.

Authors: 
Journal:  J Med Internet Res       Date:  2002-12       Impact factor: 5.428

9.  Where are they now? A case study of health-related Web site attrition.

Authors:  Michael A Veronin
Journal:  J Med Internet Res       Date:  2002 Apr-Nov       Impact factor: 5.428

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.