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Mendeley readers
Title |
GET.ON Mood Enhancer: efficacy of Internet-based guided self-help compared to psychoeducation for depression: an investigator-blinded randomised controlled trial
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Published in |
Trials, January 2014
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DOI | 10.1186/1745-6215-15-39 |
Pubmed ID | |
Authors |
David Daniel Ebert, Dirk Lehr, Harald Baumeister, Leif Boß, Heleen Riper, Pim Cuijpers, Jo Annika Reins, Claudia Buntrock, Matthias Berking |
Abstract |
Major depressive disorder (MDD) imposes a considerable disease burden on individuals and societies. A large number of randomised controlled trials (RCTs) have shown the efficacy of Internet-based guided self-help interventions in reducing symptoms of depression. However, study quality varies considerably. The aim of this study is to evaluate the efficacy of a new Internet-based guided self-help intervention (GET.ON Mood Enhancer) compared to online-based psychoeducation in an investigator-blinded RCT. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Germany | 1 | <1% |
Norway | 1 | <1% |
Switzerland | 1 | <1% |
Unknown | 206 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 37 | 18% |
Student > Ph. D. Student | 35 | 17% |
Researcher | 33 | 16% |
Student > Bachelor | 25 | 12% |
Student > Doctoral Student | 15 | 7% |
Other | 29 | 14% |
Unknown | 36 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 98 | 47% |
Medicine and Dentistry | 23 | 11% |
Social Sciences | 12 | 6% |
Computer Science | 8 | 4% |
Nursing and Health Professions | 6 | 3% |
Other | 18 | 9% |
Unknown | 45 | 21% |