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Exploring matrix factorization techniques for significant genes identification of Alzheimer’s disease microarray gene expression data

Overview of attention for article published in BMC Bioinformatics, July 2011
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Citations

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78 Mendeley
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Title
Exploring matrix factorization techniques for significant genes identification of Alzheimer’s disease microarray gene expression data
Published in
BMC Bioinformatics, July 2011
DOI 10.1186/1471-2105-12-s5-s7
Pubmed ID
Authors

Wei Kong, Xiaoyang Mou, Xiaohua Hu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 3 4%
United States 2 3%
Mexico 1 1%
Australia 1 1%
Unknown 71 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 26%
Student > Ph. D. Student 13 17%
Student > Bachelor 9 12%
Student > Master 6 8%
Professor 4 5%
Other 11 14%
Unknown 15 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 18%
Computer Science 13 17%
Biochemistry, Genetics and Molecular Biology 8 10%
Psychology 4 5%
Engineering 4 5%
Other 16 21%
Unknown 19 24%