| Title |
Predicting dementia from spontaneous speech using large language models
|
|---|---|
| Published in |
PLOS Digital Health, December 2022
|
| DOI | 10.1371/journal.pdig.0000168 |
| Authors |
Felix Agbavor, Hualou Liang |
Twitter Demographics
The data shown below were collected from the profiles of 115 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 20 | 17% |
| Japan | 10 | 9% |
| United Kingdom | 6 | 5% |
| India | 5 | 4% |
| Germany | 2 | 2% |
| Netherlands | 2 | 2% |
| Spain | 2 | 2% |
| Kenya | 2 | 2% |
| Romania | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 61 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 97 | 84% |
| Scientists | 13 | 11% |
| Practitioners (doctors, other healthcare professionals) | 4 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |