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Mendeley readers
Title |
Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data
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Published in |
BMC Bioinformatics, October 2012
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DOI | 10.1186/1471-2105-13-270 |
Pubmed ID | |
Authors |
Argiris Sakellariou, Despina Sanoudou, George Spyrou |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 33 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 26% |
Student > Ph. D. Student | 8 | 23% |
Student > Bachelor | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Professor | 2 | 6% |
Other | 6 | 17% |
Unknown | 5 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 20% |
Computer Science | 7 | 20% |
Agricultural and Biological Sciences | 6 | 17% |
Medicine and Dentistry | 5 | 14% |
Engineering | 2 | 6% |
Other | 1 | 3% |
Unknown | 7 | 20% |