Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Mapping the use of Online Health Information Sources using Webometrics


Affiliations
1 Department of Library and Information Science, Jadavpur University, Kolkata - 700032, West Bengal, India
     

   Subscribe/Renew Journal


A number of health information sources exist on the web and the number is growing. Some studies have tried to comment on the outreach of the websites by calculating the impact factor of the websites. Some studies have also assessed the quality of the information being disseminated. In this study, popular health related information sources have been assessed by using different kinds of data.

Keywords

Medical Information, Online Health Information, Pearson’s Correlation Coefficient, Webometric Analysis.
User
About The Authors

Shiv Shakti Ghosh
Department of Library and Information Science, Jadavpur University, Kolkata - 700032, West Bengal
India

Arijit Das
Department of Library and Information Science, Jadavpur University, Kolkata - 700032, West Bengal
India


Notifications

  • Alastair, S. (1999). A tale of two web spaces: Comparing sites using web impact factors. Journal of Documentation, 55(5), 577-92.

  • Almind, T.C. & Ingwersen, P. (1997). Informetric analyses on the World Wide Web: Methodological approaches to ‘webometrics’. Journal of Documentation. 53(4), 404-26. Available at: https://www.ischool.utexas.edu/~i385df04/readings/Almind_Ingwersen-1997-Webometrics.pdf. https://doi.org/10.1108/EUM0000000007205.

  • American Cancer Society. (n.d.). Accessed 06 November 2018. Available at: https://www.cancer.org/.

  • Anderson, P.F. & Allee, N.J. (2005). The Medical Library Association Encyclopedic Guide to Searching and Finding Health Information on the Web. New York: Neal-Schuman Publishers.

  • Bjornborn, L. & Ingwersen, P. (2004). Towards a basic framework for webometrics. Journal of the Amer. Soc. for Inf. Sci. & Tech., 55(14), 1216-27. https://doi.org/10.1002/asi.20077.

  • Boorkman, J.A., Huber, J.T. & Roper, F.W. (2004). Introduction to Reference Sources in the Health Sciences. New York: Neal-Schuman Publishers.

  • Breastcancer.org (n.d.). Accessed 07 November 2018. Available at: https://www.breastcancer.org/.

  • CDC - National Center for Health Statistics (n.d.). Accessed 08 November 2018. Available at: https://www.cdc.gov/nchs/.

  • Encyclopedia of Early Childhood Development (n.d.). Accessed 10 November 2018. Available at: http://www.child-encyclopedia.com/.

  • Groselj, D. (2013). A webometric analysis of online health information: Sponsorship, platform type and link structures. Online Information Review, 38(2), 209-31. https://doi.org/10.1108/OIR-01-2013-0011.

  • HIV InSite Gateway (n.d.). Accessed 08 November 2018. Available at: http://hivinsite.ucsf.edu/.

  • Ingwersen, P. (1998). The calculation of web impact factors Google Search. Journal of Documentation, 54(2), 236-43. https://doi.org/10.1108/EUM0000000007167.

  • Medindia (n.d.). Accessed 09 November 2018. Available at: https://www.medindia.net/doctors/drug_information/home.asp.

  • Moghaddam, A.M. & Danesh, F. (2015). Webometric as a method for identifying the most accredited free electronic Journal: The case of medical sciences. The Electronic Library, 33(1), 75-87. https://doi.org/10.1108/EL-10-2012-0141.

  • Patel, H.J. & Parmar, S.D. (2015). Webometrics study of All India Institutes of Medical Sciences. Journal of Advancements in Library Science, 2(2), 12-17.

  • RxList (n.d.). Accessed 06 November 2018. Available at: https:// www.rxlist.com/.

  • Stroke.org (n.d.). Accessed 09 November 2018. Available at: http://www.stroke.org/.

  • Tafaroji, R., Tahamtan, I., Roudbari, M. & Sedghi, S. (2014). Webometric analysis of Iranian medical universities according to visibility, size and rich files. Webology, 11(1), 1-19. Available at: http://www.webology.org/2014/v11n1/a119.pdf.

  • Thelwall, M. (2009). Introduction to Webometrics: Quantitative web research for the social sciences: Synthesis Lectures on Information Concepts, Retrieval, and Services. Morgan & Claypool, San Rafael; p. 116 https://doi.org/10.2200/S00176ED1V01Y200903ICR004.

  • U.S. National Library of Medicine (n.d.). Accessed 06 November 2018. Available at: https://www.nlm.nih.gov/.

  • WebMD (n.d). Accessed 07 November 2018. Available at: http:// www.webmd.com/.

  • Website Traffic (n.d.). Statistics and Analytics - Alexa. Accessed 10 November 2018. Available at: https://www.alexa.com/siteinfo.


Abstract Views: 483

PDF Views: 8




  • Mapping the use of Online Health Information Sources using Webometrics

Abstract Views: 483  |  PDF Views: 8

Authors

Shiv Shakti Ghosh
Department of Library and Information Science, Jadavpur University, Kolkata - 700032, West Bengal, India
Arijit Das
Department of Library and Information Science, Jadavpur University, Kolkata - 700032, West Bengal, India

Abstract


A number of health information sources exist on the web and the number is growing. Some studies have tried to comment on the outreach of the websites by calculating the impact factor of the websites. Some studies have also assessed the quality of the information being disseminated. In this study, popular health related information sources have been assessed by using different kinds of data.

Keywords


Medical Information, Online Health Information, Pearson’s Correlation Coefficient, Webometric Analysis.

References