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Mendeley readers
| Title |
A statistical approach for detecting genomic aberrations in heterogeneous tumor samples from single nucleotide polymorphism genotyping data
|
|---|---|
| Published in |
Genome Biology, September 2010
|
| DOI | 10.1186/gb-2010-11-9-r92 |
| Pubmed ID | |
| Authors |
Christopher Yau, Dmitri Mouradov, Robert N Jorissen, Stefano Colella, Ghazala Mirza, Graham Steers, Adrian Harris, Jiannis Ragoussis, Oliver Sieber, Christopher C Holmes |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 8 | 6% |
| United States | 5 | 3% |
| Canada | 2 | 1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| France | 1 | <1% |
| Portugal | 1 | <1% |
| Spain | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 124 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 35% |
| Researcher | 40 | 28% |
| Other | 8 | 6% |
| Student > Master | 8 | 6% |
| Student > Bachelor | 7 | 5% |
| Other | 20 | 14% |
| Unknown | 11 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 45% |
| Biochemistry, Genetics and Molecular Biology | 20 | 14% |
| Medicine and Dentistry | 20 | 14% |
| Computer Science | 11 | 8% |
| Mathematics | 8 | 6% |
| Other | 7 | 5% |
| Unknown | 14 | 10% |