Title |
Infrastructure for the life sciences: design and implementation of the UniProt website
|
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Published in |
BMC Bioinformatics, May 2009
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DOI | 10.1186/1471-2105-10-136 |
Pubmed ID | |
Authors |
Eric Jain, Amos Bairoch, Severine Duvaud, Isabelle Phan, Nicole Redaschi, Baris E Suzek, Maria J Martin, Peter McGarvey, Elisabeth Gasteiger |
Abstract |
The UniProt consortium was formed in 2002 by groups from the Swiss Institute of Bioinformatics (SIB), the European Bioinformatics Institute (EBI) and the Protein Information Resource (PIR) at Georgetown University, and soon afterwards the website http://www.uniprot.org was set up as a central entry point to UniProt resources. Requests to this address were redirected to one of the three organisations' websites. While these sites shared a set of static pages with general information about UniProt, their pages for searching and viewing data were different. To provide users with a consistent view and to cut the cost of maintaining three separate sites, the consortium decided to develop a common website for UniProt. Following several years of intense development and a year of public beta testing, the http://www.uniprot.org domain was switched to the newly developed site described in this paper in July 2008. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 9 | 4% |
Germany | 7 | 3% |
United States | 6 | 3% |
Brazil | 4 | 2% |
Spain | 3 | 1% |
France | 2 | <1% |
Colombia | 2 | <1% |
Norway | 1 | <1% |
Australia | 1 | <1% |
Other | 10 | 4% |
Unknown | 195 | 81% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 61 | 25% |
Researcher | 56 | 23% |
Student > Master | 22 | 9% |
Student > Bachelor | 22 | 9% |
Professor | 11 | 5% |
Other | 44 | 18% |
Unknown | 24 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 112 | 47% |
Computer Science | 28 | 12% |
Biochemistry, Genetics and Molecular Biology | 25 | 10% |
Engineering | 12 | 5% |
Medicine and Dentistry | 9 | 4% |
Other | 24 | 10% |
Unknown | 30 | 13% |