| Title |
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients
|
|---|---|
| Published in |
Brain Informatics, April 2021
|
| DOI | 10.1186/s40708-021-00129-1 |
| Pubmed ID | |
| Authors |
Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, Marco Zorzi |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Ph. D. Student | 6 | 15% |
| Student > Doctoral Student | 2 | 5% |
| Unspecified | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 16 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 15% |
| Engineering | 6 | 15% |
| Neuroscience | 3 | 8% |
| Medicine and Dentistry | 2 | 5% |
| Psychology | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 19 | 49% |