Title |
Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery
|
---|---|
Published in |
PLOS ONE, July 2009
|
DOI | 10.1371/journal.pone.0006146 |
Pubmed ID | |
Authors |
Jessica Kao, Keyan Salari, Melanie Bocanegra, Yoon-La Choi, Luc Girard, Jeet Gandhi, Kevin A. Kwei, Tina Hernandez-Boussard, Pei Wang, Adi F. Gazdar, John D. Minna, Jonathan R. Pollack |
Mendeley readers
The data shown below were compiled from readership statistics for 1,071 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 16 | 1% |
United Kingdom | 8 | <1% |
India | 5 | <1% |
France | 4 | <1% |
Germany | 4 | <1% |
Brazil | 4 | <1% |
Spain | 3 | <1% |
Japan | 3 | <1% |
Netherlands | 3 | <1% |
Other | 24 | 2% |
Unknown | 997 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 249 | 23% |
Researcher | 237 | 22% |
Student > Master | 128 | 12% |
Student > Bachelor | 97 | 9% |
Student > Doctoral Student | 55 | 5% |
Other | 168 | 16% |
Unknown | 137 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 394 | 37% |
Biochemistry, Genetics and Molecular Biology | 237 | 22% |
Medicine and Dentistry | 116 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 39 | 4% |
Chemistry | 23 | 2% |
Other | 102 | 10% |
Unknown | 160 | 15% |