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Mendeley readers
| Title |
High-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancer
|
|---|---|
| Published in |
Genome Biology, October 2007
|
| DOI | 10.1186/gb-2007-8-10-r215 |
| Pubmed ID | |
| Authors |
Suet F Chin, Andrew E Teschendorff, John C Marioni, Yanzhong Wang, Nuno L Barbosa-Morais, Natalie P Thorne, Jose L Costa, Sarah E Pinder, Mark A van de Wiel, Andrew R Green, Ian O Ellis, Peggy L Porter, Simon Tavaré, James D Brenton, Bauke Ylstra, Carlos Caldas |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 3% |
| United Kingdom | 4 | 2% |
| France | 3 | 2% |
| Finland | 1 | <1% |
| Japan | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 156 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 47 | 27% |
| Student > Ph. D. Student | 35 | 20% |
| Student > Master | 20 | 12% |
| Professor > Associate Professor | 12 | 7% |
| Student > Bachelor | 10 | 6% |
| Other | 29 | 17% |
| Unknown | 19 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 37% |
| Biochemistry, Genetics and Molecular Biology | 34 | 20% |
| Medicine and Dentistry | 32 | 19% |
| Computer Science | 12 | 7% |
| Mathematics | 5 | 3% |
| Other | 8 | 5% |
| Unknown | 18 | 10% |