You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data
|
|---|---|
| Published in |
BMC Bioinformatics, October 2012
|
| 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 36 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 | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 25% |
| Student > Ph. D. Student | 8 | 22% |
| Professor | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Other | 7 | 19% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 19% |
| Computer Science | 7 | 19% |
| Agricultural and Biological Sciences | 6 | 17% |
| Medicine and Dentistry | 5 | 14% |
| Engineering | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 6 | 17% |