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Web-based cognitive bias modification for problem drinkers: protocol of a randomised controlled trial with a 2x2x2 factorial design

Overview of attention for article published in BMC Public Health, July 2013
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4 X users
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1 Facebook page

Citations

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30 Dimensions

Readers on

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173 Mendeley
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Title
Web-based cognitive bias modification for problem drinkers: protocol of a randomised controlled trial with a 2x2x2 factorial design
Published in
BMC Public Health, July 2013
DOI 10.1186/1471-2458-13-674
Pubmed ID
Authors

Denise S van Deursen, Elske Salemink, Filip Smit, Jeannet Kramer, Reinout W Wiers

Abstract

The automatic tendency to attend to, positively evaluate and approach alcohol related stimuli has been found to play a causal role in problematic alcohol use and can be retrained by computerised Cognitive Bias Modification (CBM). In spite of CBMs potential as an internet intervention, little is known about the efficacy of web-based CBM. The study described in this protocol will test the effectiveness of web-based CBM in a double blind randomised controlled trial with a 2 (attention bias retraining: real versus placebo) x 2 (alcohol/no-go training: real versus placebo) x 2 (approach bias retraining: real versus placebo) factorial design.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Italy 1 <1%
Sweden 1 <1%
Romania 1 <1%
Spain 1 <1%
Unknown 168 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 21%
Researcher 36 21%
Student > Bachelor 24 14%
Student > Master 20 12%
Student > Doctoral Student 9 5%
Other 17 10%
Unknown 30 17%
Readers by discipline Count As %
Psychology 75 43%
Medicine and Dentistry 19 11%
Social Sciences 11 6%
Nursing and Health Professions 9 5%
Agricultural and Biological Sciences 6 3%
Other 17 10%
Unknown 36 21%
Attention Score in Context

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 21 November 2017.
All research outputs
#13,386,934
of 22,714,025 outputs
Outputs from BMC Public Health
#9,489
of 14,790 outputs
Outputs of similar age
#103,615
of 197,220 outputs
Outputs of similar age from BMC Public Health
#157
of 234 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 33rd percentile – i.e., 33% 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 197,220 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.