The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
A Space-Variant Visual Pathway Model for Data Efficient Deep Learning
|
|---|---|
| Published in |
Frontiers in Cellular Neuroscience, March 2019
|
| DOI | 10.3389/fncel.2019.00036 |
| Pubmed ID | |
| Authors |
Piotr Ozimek, Nina Hristozova, Lorinc Balog, Jan Paul Siebert |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 5 | 26% |
| Student > Ph. D. Student | 3 | 16% |
| Professor > Associate Professor | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 4 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 21% |
| Engineering | 3 | 16% |
| Nursing and Health Professions | 1 | 5% |
| Energy | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 7 | 37% |