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Mendeley readers
| Title |
Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen
|
|---|---|
| Published in |
BMC Genomics, May 2008
|
| DOI | 10.1186/1471-2164-9-239 |
| Pubmed ID | |
| Authors |
Sherene Loi, Benjamin Haibe-Kains, Christine Desmedt, Pratyaksha Wirapati, Françoise Lallemand, Andrew M Tutt, Cheryl Gillet, Paul Ellis, Kenneth Ryder, James F Reid, Maria G Daidone, Marco A Pierotti, Els MJJ Berns, Maurice PHM Jansen, John A Foekens, Mauro Delorenzi, Gianluca Bontempi, Martine J Piccart, Christos Sotiriou |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 3% |
| United Kingdom | 3 | 1% |
| France | 2 | <1% |
| Belgium | 2 | <1% |
| Spain | 2 | <1% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| Hungary | 1 | <1% |
| China | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 187 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 60 | 29% |
| Student > Ph. D. Student | 37 | 18% |
| Professor > Associate Professor | 23 | 11% |
| Student > Master | 23 | 11% |
| Student > Bachelor | 18 | 9% |
| Other | 35 | 17% |
| Unknown | 14 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 30% |
| Medicine and Dentistry | 58 | 28% |
| Biochemistry, Genetics and Molecular Biology | 34 | 16% |
| Computer Science | 16 | 8% |
| Mathematics | 4 | 2% |
| Other | 17 | 8% |
| Unknown | 19 | 9% |