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Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor stimulation

Overview of attention for article published in BMC Bioinformatics, January 2007
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Readers on

mendeley
44 Mendeley
citeulike
8 CiteULike
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3 Connotea
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Title
Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor stimulation
Published in
BMC Bioinformatics, January 2007
DOI 10.1186/1471-2105-8-14
Pubmed ID
Authors

Rob Jelier, Guido Jenster, Lambert CJ Dorssers, Bas J Wouters, Peter JM Hendriksen, Barend Mons, Ruud Delwel, Jan A Kors

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Netherlands 1 2%
Germany 1 2%
France 1 2%
Spain 1 2%
Unknown 38 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 23%
Student > Ph. D. Student 7 16%
Other 5 11%
Student > Master 5 11%
Professor 3 7%
Other 7 16%
Unknown 7 16%
Readers by discipline Count As %
Computer Science 12 27%
Agricultural and Biological Sciences 8 18%
Medicine and Dentistry 6 14%
Biochemistry, Genetics and Molecular Biology 4 9%
Engineering 3 7%
Other 4 9%
Unknown 7 16%