The world's first wiki where authorship really matters (Nature Genetics, 2008). Due credit and reputation for authors. Imagine a global collaborative knowledge base for original thoughts. Search thousands of articles and collaborate with scientists around the globe.

wikigene or wiki gene protein drug chemical gene disease author authorship tracking collaborative publishing evolutionary knowledge reputation system wiki2.0 global collaboration genes proteins drugs chemicals diseases compound
Hoffmann, R. A wiki for the life sciences where authorship matters. Nature Genetics (2008)
 
 
 

Using the World Wide Web--a new approach to risk identification of diabetes mellitus.

Diabetes mellitus is a major health problem with a rising tendency world-wide. A new strategy for risk evaluation and data collection of undiagnosed non-insulin-dependent diabetes mellitus (NIDDM) using the World Wide Web (WWW) is presented. An easy-to-handle questionnaire on typical risk factors was converted into an interactive WWW document. The Internet provides the suitable platform for the net-based distribution of the questionnaire form as well as the computer-assisted entering and interpretation of the data (http:(/)/www.uni-leipzig.de/-diabetes). The analysis program, installed on our WWW server, interprets the information and sends the assessment on-line back to the inquiring user PC. The data are also collected anonymously in a database for epidemiological studies. In the test period, 744 world-wide accesses were registered: 433 men, mean age 39.8 +/- 14.4 years (range 10-83) and 311 women, mean age 36.7 +/- 12.7 years (range 11-77). An increased risk for undiagnosed diabetes was identified to 43.6%. The risk profile of male and female users showed no significant gender-related differences. Using the WWW technology can support early detection and adequate treatment of undiagnosed diabetes. This innovative strategy to screen for a high risk profile is an useful, cost-effective and up-to-date tool for broad community health education and epidemiological studies world-wide.[1]

References

  1. Using the World Wide Web--a new approach to risk identification of diabetes mellitus. Baehring, T.U., Schulze, H., Bornstein, S.R., Scherbaum, W.A. International journal of medical informatics. (1997) [Pubmed]
 
WikiGenes - Universities