| Title |
Latent Factor Analysis to Discover Pathway-Associated Putative Segmental Aneuploidies in Human Cancers
|
|---|---|
| Published in |
PLoS Computational Biology, September 2010
|
| DOI | 10.1371/journal.pcbi.1000920 |
| Pubmed ID | |
| Authors |
Joseph E. Lucas, Hsiu-Ni Kung, Jen-Tsan A. Chi |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 7% |
| Russia | 1 | 2% |
| Denmark | 1 | 2% |
| Czechia | 1 | 2% |
| Unknown | 37 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 33% |
| Professor > Associate Professor | 9 | 21% |
| Researcher | 9 | 21% |
| Student > Bachelor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 1 | 2% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 40% |
| Mathematics | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Computer Science | 4 | 9% |
| Medicine and Dentistry | 4 | 9% |
| Other | 4 | 9% |
| Unknown | 6 | 14% |