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Mendeley readers
| Title |
An optimization framework for unsupervised identification of rare copy number variation from SNP array data
|
|---|---|
| Published in |
Genome Biology, October 2009
|
| DOI | 10.1186/gb-2009-10-10-r119 |
| Pubmed ID | |
| Authors |
Gökhan Yavaş, Mehmet Koyutürk, Meral Özsoyoğlu, Meetha P Gould, Thomas LaFramboise |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Netherlands | 1 | 1% |
| Italy | 1 | 1% |
| Brazil | 1 | 1% |
| Sweden | 1 | 1% |
| Canada | 1 | 1% |
| Russia | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 61 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 29% |
| Student > Ph. D. Student | 19 | 27% |
| Student > Doctoral Student | 9 | 13% |
| Professor > Associate Professor | 7 | 10% |
| Student > Master | 6 | 9% |
| Other | 8 | 11% |
| Unknown | 1 | 1% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 50% |
| Computer Science | 9 | 13% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Medicine and Dentistry | 7 | 10% |
| Mathematics | 4 | 6% |
| Other | 5 | 7% |
| Unknown | 2 | 3% |