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X Demographics
Mendeley readers
Title |
International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: rationale and protocol
|
---|---|
Published in |
Trials, January 2011
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DOI | 10.1186/1745-6215-12-4 |
Pubmed ID | |
Authors |
Leanne M Williams, A John Rush, Stephen H Koslow, Stephen R Wisniewski, Nicholas J Cooper, Charles B Nemeroff, Alan F Schatzberg, Evian Gordon |
Abstract |
Clinically useful treatment moderators of Major Depressive Disorder (MDD) have not yet been identified, though some baseline predictors of treatment outcome have been proposed. The aim of iSPOT-D is to identify pretreatment measures that predict or moderate MDD treatment response or remission to escitalopram, sertraline or venlafaxine; and develop a model that incorporates multiple predictors and moderators. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | <1% |
Singapore | 1 | <1% |
Unknown | 304 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 60 | 20% |
Student > Master | 45 | 15% |
Student > Ph. D. Student | 43 | 14% |
Student > Bachelor | 23 | 8% |
Other | 13 | 4% |
Other | 54 | 18% |
Unknown | 68 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 67 | 22% |
Medicine and Dentistry | 55 | 18% |
Neuroscience | 34 | 11% |
Agricultural and Biological Sciences | 18 | 6% |
Nursing and Health Professions | 9 | 3% |
Other | 32 | 10% |
Unknown | 91 | 30% |