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Mendeley readers
| Title |
Improving the Assessment of Mild Cognitive Impairment in Advanced Age With a Novel Multi-Feature Automated Speech and Language Analysis of Verbal Fluency
|
|---|---|
| Published in |
Frontiers in Psychology, April 2020
|
| DOI | 10.3389/fpsyg.2020.00535 |
| Pubmed ID | |
| Authors |
Liu Chen, Meysam Asgari, Robert Gale, Katherine Wild, Hiroko Dodge, Jeffrey Kaye |
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 % |
|---|---|---|
| Student > Master | 4 | 10% |
| Student > Doctoral Student | 4 | 10% |
| Researcher | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 15 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 10% |
| Psychology | 4 | 10% |
| Agricultural and Biological Sciences | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Linguistics | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 17 | 44% |