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Mendeley readers
| Title |
Virtual CGH: an integrative approach to predict genetic abnormalities from gene expression microarray data applied in lymphoma
|
|---|---|
| Published in |
BMC Medical Genomics, April 2011
|
| DOI | 10.1186/1755-8794-4-32 |
| Pubmed ID | |
| Authors |
Huimin Geng, Javeed Iqbal, Wing C Chan, Hesham H Ali |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 9% |
| Spain | 1 | 5% |
| Germany | 1 | 5% |
| Belgium | 1 | 5% |
| Unknown | 17 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 27% |
| Student > Ph. D. Student | 6 | 27% |
| Professor | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Other | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 36% |
| Medicine and Dentistry | 5 | 23% |
| Mathematics | 2 | 9% |
| Social Sciences | 2 | 9% |
| Computer Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 14% |