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X Demographics
Mendeley readers
| Title |
Generative Adversarial Networks for Augmenting Training Data of Microscopic Cell Images
|
|---|---|
| Published in |
Frontiers in Computer Science, November 2019
|
| DOI | 10.3389/fcomp.2019.00010 |
| Authors |
Piotr Baniukiewicz, E. Josiah Lutton, Sharon Collier, Till Bretschneider |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 4 | 33% |
| Germany | 2 | 17% |
| Switzerland | 1 | 8% |
| China | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 15 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 30% |
| Engineering | 5 | 14% |
| Mathematics | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 15 | 41% |