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Internet-based treatment of major depression for patients on a waiting list for inpatient psychotherapy: protocol for a multi-centre randomised controlled trial

Overview of attention for article published in BMC Psychiatry, November 2013
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters

Citations

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19 Dimensions

Readers on

mendeley
184 Mendeley

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Summary Twitter Dimensions citations
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Title
Internet-based treatment of major depression for patients on a waiting list for inpatient psychotherapy: protocol for a multi-centre randomised controlled trial
Published in
BMC Psychiatry, November 2013
DOI 10.1186/1471-244x-13-318
Pubmed ID
24279841
Authors

Jo Annika Reins, David Daniel Ebert, Dirk Lehr, Heleen Riper, Pim Cuijpers, Matthias Berking

Abstract

Major depressive disorder (MDD) is a prevalent and severe disorder. Although effective treatments for MDD are available, many patients remain untreated, mainly because of insufficient treatment capacities in the health care system. Resulting waiting periods are often associated with prolonged suffering and impairment as well as a higher risk of chronification. Web-based interventions may help to alleviate these problems. Numerous studies provided evidence for the efficacy of web-based interventions for depression. The aim of this study is to evaluate a new web-based guided self-help intervention (GET.ON-Mood Enhancer-WL) specifically developed for patients waiting to commence inpatient therapy for MDD.

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Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Norway 1 <1%
Switzerland 1 <1%
Unknown 181 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 20%
Researcher 28 15%
Student > Ph. D. Student 27 15%
Student > Bachelor 23 13%
Student > Doctoral Student 12 7%
Other 23 13%
Unknown 35 19%
Readers by discipline Count As %
Psychology 81 44%
Medicine and Dentistry 18 10%
Computer Science 9 5%
Social Sciences 9 5%
Agricultural and Biological Sciences 3 2%
Other 17 9%
Unknown 47 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 May 2014.
All research outputs
#14,182,545
of 22,731,677 outputs
Outputs from BMC Psychiatry
#3,023
of 4,659 outputs
Outputs of similar age
#176,335
of 306,357 outputs
Outputs of similar age from BMC Psychiatry
#69
of 90 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,659 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 32nd percentile – i.e., 32% 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 306,357 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.

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