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Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data

Overview of attention for article published in Genome Medicine, January 2011
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Citations

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Readers on

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96 Mendeley
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2 CiteULike
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1 Connotea
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Title
Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data
Published in
Genome Medicine, January 2011
DOI 10.1186/gm217
Pubmed ID
Authors

Joanne H Wang, Derek Pappas, Philip L De Jager, Daniel Pelletier, Paul IW de Bakker, Ludwig Kappos, Chris H Polman, Australian and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene), Lori B Chibnik, David A Hafler, Paul M Matthews, Stephen L Hauser, Sergio E Baranzini, Jorge R Oksenberg

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Netherlands 1 1%
France 1 1%
Brazil 1 1%
Korea, Republic of 1 1%
Spain 1 1%
Sweden 1 1%
Unknown 88 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 27%
Student > Ph. D. Student 22 23%
Professor 9 9%
Student > Bachelor 8 8%
Other 7 7%
Other 16 17%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 26%
Medicine and Dentistry 24 25%
Neuroscience 8 8%
Computer Science 6 6%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 17 18%
Unknown 11 11%