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Mendeley readers
| Title |
Diffusion tensor imaging for characterizing tumor microstructure and improving diagnostic performance on breast MRI: a prospective observational study
|
|---|---|
| Published in |
Breast Cancer Research, September 2019
|
| DOI | 10.1186/s13058-019-1183-3 |
| Pubmed ID | |
| Authors |
Jing Luo, Daniel S. Hippe, Habib Rahbar, Sana Parsian, Mara H. Rendi, Savannah C. Partridge |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 9% |
| Student > Master | 5 | 9% |
| Researcher | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Other | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 26 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Neuroscience | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 8 | 14% |
| Unknown | 28 | 50% |