| Title |
Elucidating the Altered Transcriptional Programs in Breast Cancer using Independent Component Analysis
|
|---|---|
| Published in |
PLoS Computational Biology, August 2007
|
| DOI | 10.1371/journal.pcbi.0030161 |
| Pubmed ID | |
| Authors |
Andrew E Teschendorff, Michel Journée, Pierre A Absil, Rodolphe Sepulchre, Carlos Caldas |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| United Kingdom | 2 | 1% |
| Germany | 2 | 1% |
| Russia | 2 | 1% |
| Argentina | 1 | <1% |
| Australia | 1 | <1% |
| Mexico | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 133 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 26% |
| Researcher | 36 | 24% |
| Student > Master | 18 | 12% |
| Professor > Associate Professor | 10 | 7% |
| Student > Bachelor | 9 | 6% |
| Other | 21 | 14% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 38% |
| Biochemistry, Genetics and Molecular Biology | 23 | 16% |
| Medicine and Dentistry | 14 | 9% |
| Computer Science | 9 | 6% |
| Mathematics | 9 | 6% |
| Other | 17 | 11% |
| Unknown | 20 | 14% |