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Mendeley readers
| Title |
Inclusion of KI67 significantly improves performance of the PREDICT prognostication and prediction model for early breast cancer
|
|---|---|
| Published in |
BMC Cancer, December 2014
|
| DOI | 10.1186/1471-2407-14-908 |
| Pubmed ID | |
| Authors |
Gordon C Wishart, Emad Rakha, Andrew Green, Ian Ellis, Hamid Raza Ali, Elena Provenzano, Fiona M Blows, Carlos Caldas, Paul DP Pharoah |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 17% |
| Other | 7 | 13% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 5 | 10% |
| Student > Ph. D. Student | 4 | 8% |
| Other | 10 | 19% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 35% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Agricultural and Biological Sciences | 2 | 4% |
| Computer Science | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 9 | 17% |
| Unknown | 15 | 29% |