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X Demographics
Mendeley readers
| Title |
Effects of emotion recognition training on mood among individuals with high levels of depressive symptoms: study protocol for a randomised controlled trial
|
|---|---|
| Published in |
Trials, June 2013
|
| DOI | 10.1186/1745-6215-14-161 |
| Pubmed ID | |
| Authors |
Sally Adams, Ian S Penton-Voak, Catherine J Harmer, Emily A Holmes, Marcus R Munafò |
| Abstract |
We have developed a new paradigm that targets the recognition of facial expression of emotions. Here we report the protocol of a randomised controlled trial of the effects of emotion recognition training on mood in a sample of individuals with depressive symptoms over a 6-week follow-up period. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 75% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Norway | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 208 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 44 | 20% |
| Researcher | 39 | 18% |
| Student > Ph. D. Student | 34 | 16% |
| Student > Bachelor | 21 | 10% |
| Student > Postgraduate | 10 | 5% |
| Other | 30 | 14% |
| Unknown | 37 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 97 | 45% |
| Medicine and Dentistry | 25 | 12% |
| Social Sciences | 10 | 5% |
| Computer Science | 7 | 3% |
| Agricultural and Biological Sciences | 6 | 3% |
| Other | 25 | 12% |
| Unknown | 45 | 21% |