| Title |
An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study
|
|---|---|
| Published by |
Elsevier, August 2020
|
| DOI | 10.1016/s2589-7500(20)30159-x |
| Pubmed ID | |
| Authors |
Liron Pantanowitz, Gabriela M Quiroga-Garza, Lilach Bien, Ronen Heled, Daphna Laifenfeld, Chaim Linhart, Judith Sandbank, Anat Albrecht Shach, Varda Shalev, Manuela Vecsler, Pamela Michelow, Scott Hazelhurst, Rajiv Dhir |
X Demographics
The data shown below were collected from the profiles of 59 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 | 11 | 19% |
| United Kingdom | 9 | 15% |
| Spain | 2 | 3% |
| France | 2 | 3% |
| Germany | 2 | 3% |
| Singapore | 1 | 2% |
| India | 1 | 2% |
| Switzerland | 1 | 2% |
| Australia | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 24 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 36 | 61% |
| Scientists | 13 | 22% |
| Practitioners (doctors, other healthcare professionals) | 8 | 14% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 265 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 17% |
| Student > Ph. D. Student | 24 | 9% |
| Student > Master | 20 | 8% |
| Student > Bachelor | 19 | 7% |
| Other | 10 | 4% |
| Other | 40 | 15% |
| Unknown | 106 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 49 | 18% |
| Computer Science | 31 | 12% |
| Engineering | 17 | 6% |
| Biochemistry, Genetics and Molecular Biology | 15 | 6% |
| Agricultural and Biological Sciences | 7 | 3% |
| Other | 31 | 12% |
| Unknown | 115 | 43% |