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Mendeley readers
Title |
Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer
|
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Published in |
Clinical Proteomics, July 2011
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DOI | 10.1186/1559-0275-8-11 |
Pubmed ID | |
Authors |
Ana M Gonzalez-Angulo, Bryan T Hennessy, Funda Meric-Bernstam, Aysegul Sahin, Wenbin Liu, Zhenlin Ju, Mark S Carey, Simen Myhre, Corey Speers, Lei Deng, Russell Broaddus, Ana Lluch, Sam Aparicio, Powel Brown, Lajos Pusztai, W Fraser Symmans, Jan Alsner, Jens Overgaard, Anne-Lise Borresen-Dale, Gabriel N Hortobagyi, Kevin R Coombes, Gordon B Mills |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Korea, Republic of | 1 | 1% |
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Denmark | 1 | 1% |
Unknown | 75 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 22% |
Student > Ph. D. Student | 14 | 18% |
Professor > Associate Professor | 6 | 8% |
Student > Bachelor | 4 | 5% |
Other | 4 | 5% |
Other | 10 | 13% |
Unknown | 24 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 20% |
Biochemistry, Genetics and Molecular Biology | 12 | 15% |
Medicine and Dentistry | 10 | 13% |
Computer Science | 4 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
Other | 8 | 10% |
Unknown | 26 | 33% |