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Mendeley readers
| Title |
Assessing the usefulness of a novel MRI-based breast density estimation algorithm in a cohort of women at high genetic risk of breast cancer: the UK MARIBS study
|
|---|---|
| Published in |
Breast Cancer Research, November 2009
|
| DOI | 10.1186/bcr2447 |
| Pubmed ID | |
| Authors |
Deborah J Thompson, Martin O Leach, Gek Kwan-Lim, Simon A Gayther, Susan J Ramus, Iqbal Warsi, Fiona Lennard, Michael Khazen, Emilie Bryant, Sadie Reed, Caroline RM Boggis, D Gareth Evans, Rosalind A Eeles, Douglas F Easton, Ruth ML Warren, The UK study of MRI screening for breast cancer in women at high risk (MARIBS) |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 1% |
| Uruguay | 1 | 1% |
| Austria | 1 | 1% |
| Canada | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 62 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 21% |
| Researcher | 9 | 13% |
| Student > Master | 6 | 9% |
| Professor | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Other | 15 | 22% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 35% |
| Agricultural and Biological Sciences | 9 | 13% |
| Physics and Astronomy | 7 | 10% |
| Computer Science | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 16 | 24% |