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Attention Score in Context
Title |
Evaluating the efficacy and cost-effectiveness of web-based indicated prevention of major depression: design of a randomised controlled trial
|
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Published in |
BMC Psychiatry, January 2014
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DOI | 10.1186/1471-244x-14-25 |
Pubmed ID | |
Authors |
Claudia Buntrock, David D Ebert, Dirk Lehr, Pim Cuijpers, Heleen Riper, Filip Smit, Matthias Berking |
Abstract |
Major depressive disorder (MDD) imposes a considerable disease burden on individuals and societies. Web-based interventions have shown to be effective in reducing depressive symptom severity. However, it is not known whether web-based interventions may also be effective in preventing the onset of MDD. The aim of this study is to evaluate the (cost-) effectiveness of an indicated web-based guided self-help intervention (GET.ON Mood Enhancer Prevention) on the onset of MDD. |
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 % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 355 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
United States | 1 | <1% |
Germany | 1 | <1% |
Norway | 1 | <1% |
Unknown | 351 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 73 | 21% |
Student > Ph. D. Student | 50 | 14% |
Researcher | 40 | 11% |
Student > Bachelor | 36 | 10% |
Student > Doctoral Student | 27 | 8% |
Other | 52 | 15% |
Unknown | 77 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 143 | 40% |
Medicine and Dentistry | 40 | 11% |
Social Sciences | 20 | 6% |
Nursing and Health Professions | 11 | 3% |
Computer Science | 9 | 3% |
Other | 42 | 12% |
Unknown | 90 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 February 2014.
All research outputs
#18,361,534
of 22,741,406 outputs
Outputs from BMC Psychiatry
#3,856
of 4,666 outputs
Outputs of similar age
#229,416
of 306,968 outputs
Outputs of similar age from BMC Psychiatry
#71
of 80 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,666 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 10th percentile – i.e., 10% 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 306,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.