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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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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters
facebook
1 Facebook page

Readers on

mendeley
82 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.

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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Portugal 1 1%
Italy 1 1%
Romania 1 1%
Unknown 78 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 29%
Researcher 19 23%
Student > Bachelor 14 17%
Student > Master 12 15%
Professor 3 4%
Other 10 12%
Readers by discipline Count As %
Psychology 43 52%
Medicine and Dentistry 12 15%
Social Sciences 8 10%
Agricultural and Biological Sciences 4 5%
Nursing and Health Professions 3 4%
Other 12 15%

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
#5,380,556
of 10,604,514 outputs
Outputs from BMC Public Health
#4,499
of 7,662 outputs
Outputs of similar age
#51,587
of 133,942 outputs
Outputs of similar age from BMC Public Health
#100
of 160 outputs
Altmetric has tracked 10,604,514 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,662 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 38th percentile – i.e., 38% 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 133,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.