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Mendeley readers
| Title |
Assessment of algorithms for high throughput detection of genomic copy number variation in oligonucleotide microarray data
|
|---|---|
| Published in |
BMC Bioinformatics, October 2007
|
| DOI | 10.1186/1471-2105-8-368 |
| Pubmed ID | |
| Authors |
Ágnes Baross, Allen D Delaney, H Irene Li, Tarun Nayar, Stephane Flibotte, Hong Qian, Susanna Y Chan, Jennifer Asano, Adrian Ally, Manqiu Cao, Patricia Birch, Mabel Brown-John, Nicole Fernandes, Anne Go, Giulia Kennedy, Sylvie Langlois, Patrice Eydoux, JM Friedman, Marco A Marra |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Germany | 3 | 3% |
| Netherlands | 2 | 2% |
| United Kingdom | 2 | 2% |
| Australia | 1 | 1% |
| Brazil | 1 | 1% |
| Uruguay | 1 | 1% |
| Switzerland | 1 | 1% |
| Sweden | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 70 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 31% |
| Student > Ph. D. Student | 18 | 20% |
| Professor > Associate Professor | 10 | 11% |
| Student > Master | 9 | 10% |
| Professor | 6 | 7% |
| Other | 12 | 14% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 49% |
| Medicine and Dentistry | 11 | 13% |
| Biochemistry, Genetics and Molecular Biology | 9 | 10% |
| Computer Science | 7 | 8% |
| Mathematics | 4 | 5% |
| Other | 6 | 7% |
| Unknown | 8 | 9% |