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X Demographics
Mendeley readers
| Title |
Self-Net: Lifelong Learning via Continual Self-Modeling
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, April 2020
|
| DOI | 10.3389/frai.2020.00019 |
| Pubmed ID | |
| Authors |
Jaya Krishna Mandivarapu, Blake Camp, Rolando Estrada |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 27% |
| Researcher | 5 | 11% |
| Student > Master | 5 | 11% |
| Other | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 15 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 41% |
| Engineering | 5 | 11% |
| Neuroscience | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 15 | 34% |