| Title |
A Two-Gene Signature, SKI and SLAMF1, Predicts Time-to-Treatment in Previously Untreated Patients with Chronic Lymphocytic Leukemia
|
|---|---|
| Published in |
PLOS ONE, December 2011
|
| DOI | 10.1371/journal.pone.0028277 |
| Pubmed ID | |
| Authors |
Carmen D. Schweighofer, Kevin R. Coombes, Lynn L. Barron, Lixia Diao, Rachel J. Newman, Alessandra Ferrajoli, Susan O'Brien, William G. Wierda, Rajyalakshmi Luthra, L. Jeffrey Medeiros, Michael J. Keating, Lynne V. Abruzzo |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 31 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 22% |
| Student > Ph. D. Student | 6 | 19% |
| Other | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 8 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 41% |
| Medicine and Dentistry | 5 | 16% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Mathematics | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 25% |