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Mendeley readers
| Title |
AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes
|
|---|---|
| Published in |
Breast Cancer Research, September 2013
|
| DOI | 10.1186/bcr3474 |
| Pubmed ID | |
| Authors |
Carolyn Nickson, Yulia Arzhaeva, Zoe Aitken, Tarek Elgindy, Mitchell Buckley, Min Li, Dallas R English, Anne M Kavanagh |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | 2% |
| Unknown | 64 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 9 | 14% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 16 | 25% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 28% |
| Computer Science | 8 | 12% |
| Physics and Astronomy | 7 | 11% |
| Nursing and Health Professions | 6 | 9% |
| Engineering | 4 | 6% |
| Other | 7 | 11% |
| Unknown | 15 | 23% |