| Title |
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
|
|---|---|
| Published in |
bioRxiv, February 2018
|
| DOI | 10.1101/259911 |
| Authors |
Alexander Rakhlin, Alexey Shvets, Vladimir Iglovikov, Alexandr A. Kalinin |
X Demographics
The data shown below were collected from the profiles of 137 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 | 35 | 26% |
| India | 12 | 9% |
| United Kingdom | 5 | 4% |
| Australia | 4 | 3% |
| Canada | 4 | 3% |
| Germany | 4 | 3% |
| Spain | 3 | 2% |
| Ireland | 2 | 1% |
| France | 2 | 1% |
| Other | 25 | 18% |
| Unknown | 41 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 102 | 74% |
| Scientists | 30 | 22% |
| Practitioners (doctors, other healthcare professionals) | 4 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 29% |
| Student > Ph. D. Student | 2 | 14% |
| Researcher | 2 | 14% |
| Student > Bachelor | 2 | 14% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 43% |
| Agricultural and Biological Sciences | 1 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 29% |