The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
Neuromorphic artificial intelligence systems
|
|---|---|
| Published in |
Frontiers in Neuroscience, September 2022
|
| DOI | 10.3389/fnins.2022.959626 |
| Pubmed ID | |
| Authors |
Dmitry Ivanov, Aleksandr Chezhegov, Mikhail Kiselev, Andrey Grunin, Denis Larionov |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 13% |
| Researcher | 9 | 13% |
| Unspecified | 3 | 4% |
| Student > Bachelor | 3 | 4% |
| Student > Doctoral Student | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 33 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 15% |
| Physics and Astronomy | 6 | 9% |
| Computer Science | 5 | 7% |
| Neuroscience | 4 | 6% |
| Unspecified | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 34 | 51% |