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Mendeley readers
| Title |
Explaining Variance in the Cumulus Mammographic Measures That Predict Breast Cancer Risk: A Twins and Sisters Study
|
|---|---|
| Published in |
Cancer Epidemiology, Biomarkers & Prevention, December 2013
|
| DOI | 10.1158/1055-9965.epi-13-0481 |
| Pubmed ID | |
| Authors |
Tuong L. Nguyen, Daniel F. Schmidt, Enes Makalic, Gillian S. Dite, Jennifer Stone, Carmel Apicella, Minh Bui, Robert J. MacInnis, Fabrice Odefrey, Jennifer N. Cawson, Susan A. Treloar, Melissa C. Southey, Graham G. Giles, John L. Hopper |
| Abstract |
Mammographic density, the area of the mammographic image that appears white or bright, predicts breast cancer risk. We estimated the proportions of variance explained by questionnaire-measured breast cancer risk factors and by unmeasured residual familial factors. |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 39 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Student > Ph. D. Student | 7 | 17% |
| Lecturer > Senior Lecturer | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 24% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Agricultural and Biological Sciences | 3 | 7% |
| Mathematics | 2 | 5% |
| Immunology and Microbiology | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 12 | 29% |