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X Demographics
Mendeley readers
| Title |
Deep Active Inference and Scene Construction
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, October 2020
|
| DOI | 10.3389/frai.2020.509354 |
| Pubmed ID | |
| Authors |
R. Conor Heins, M. Berk Mirza, Thomas Parr, Karl Friston, Igor Kagan, Arezoo Pooresmaeili |
X Demographics
The data shown below were collected from the profiles of 17 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 Kingdom | 3 | 18% |
| United States | 2 | 12% |
| Switzerland | 1 | 6% |
| Australia | 1 | 6% |
| Netherlands | 1 | 6% |
| Italy | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 6 | 35% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 29% |
| Student > Bachelor | 6 | 15% |
| Student > Master | 6 | 15% |
| Researcher | 6 | 15% |
| Professor > Associate Professor | 2 | 5% |
| Other | 0 | 0% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 17% |
| Psychology | 6 | 15% |
| Computer Science | 5 | 12% |
| Agricultural and Biological Sciences | 3 | 7% |
| Neuroscience | 3 | 7% |
| Other | 2 | 5% |
| Unknown | 15 | 37% |