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Mendeley readers
Title |
Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen
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Published in |
BMC Genomics, May 2008
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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% |