| Title |
Targeted Therapy Database (TTD): A Model to Match Patient's Molecular Profile with Current Knowledge on Cancer Biology
|
|---|---|
| Published in |
PLOS ONE, August 2010
|
| DOI | 10.1371/journal.pone.0011965 |
| Pubmed ID | |
| Authors |
Simone Mocellin, Jeff Shrager, Richard Scolyer, Sandro Pasquali, Daunia Verdi, Francesco M. Marincola, Marta Briarava, Randy Gobbel, Carlo Rossi, Donato Nitti |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 10% |
| United Kingdom | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 43 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 32% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Master | 7 | 14% |
| Other | 4 | 8% |
| Lecturer | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 26% |
| Agricultural and Biological Sciences | 9 | 18% |
| Computer Science | 7 | 14% |
| Biochemistry, Genetics and Molecular Biology | 6 | 12% |
| Chemistry | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 5 | 10% |