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Mendeley readers
Attention Score in Context
| Title |
The generalizability of psychotherapy efficacy trials in major depressive disorder: an analysis of the influence of patient selection in efficacy trials on symptom outcome in daily practice
|
|---|---|
| Published in |
BMC Psychiatry, November 2012
|
| DOI | 10.1186/1471-244x-12-192 |
| Pubmed ID | |
| Authors |
Rosalind van der Lem, Wouter WH de Wever, Nic JA van der Wee, Tineke van Veen, Pim Cuijpers, Frans G Zitman |
| Abstract |
Treatment guidelines for major depressive disorder (MDD) are based on results from randomized clinical trials, among others in psychotherapy efficacy trials. However, patients in these trials differ from routine practice patients since trials use stringent criteria for patient selection. It is unknown whether the exclusion criteria used in psychotherapy efficacy trials (PETs) influence symptom outcome in clinical practice. We first explored which exclusion criteria are used in PETs. Second, we investigated the influence of commonly used exclusion criteria on symptom outcome in routine clinical practice. |
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 | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 95 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 19% |
| Student > Bachelor | 13 | 14% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Master | 9 | 9% |
| Student > Doctoral Student | 9 | 9% |
| Other | 21 | 22% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 31 | 32% |
| Medicine and Dentistry | 26 | 27% |
| Social Sciences | 5 | 5% |
| Nursing and Health Professions | 2 | 2% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 10 | 10% |
| Unknown | 20 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2013.
All research outputs
#12,804,088
of 22,685,926 outputs
Outputs from BMC Psychiatry
#2,596
of 4,639 outputs
Outputs of similar age
#95,370
of 183,504 outputs
Outputs of similar age from BMC Psychiatry
#36
of 72 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 183,504 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.