| Title |
3T multiparametric MR imaging, PIRADSv2-based detection of index prostate cancer lesions in the transition zone and the peripheral zone using whole mount histopathology as reference standard
|
|---|---|
| Published in |
Abdominal Radiology, May 2018
|
| DOI | 10.1007/s00261-018-1598-9 |
| Pubmed ID | |
| Authors |
Nazanin Hajarol Asvadi, Sohrab Afshari Mirak, Amirhossein Mohammadian Bajgiran, Pooria Khoshnoodi, Pornphan Wibulpolprasert, Daniel Margolis, Anthony Sisk, Robert E. Reiter, Steven S. Raman |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 6 | 19% |
| Student > Doctoral Student | 3 | 10% |
| Other | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Master | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 10 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 45% |
| Computer Science | 2 | 6% |
| Unknown | 15 | 48% |