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Baseline predictors of treatment outcome in Internet-based alcohol interventions: a recursive partitioning analysis alongside a randomized trial

Overview of attention for article published in BMC Public Health, May 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
67 Mendeley
Title
Baseline predictors of treatment outcome in Internet-based alcohol interventions: a recursive partitioning analysis alongside a randomized trial
Published in
BMC Public Health, May 2013
DOI 10.1186/1471-2458-13-455
Pubmed ID
Authors

Matthijs Blankers, Maarten WJ Koeter, Gerard M Schippers

Abstract

Internet-based interventions are seen as attractive for harmful users of alcohol and lead to desirable clinical outcomes. Some participants will however not achieve the desired results. In this study, harmful users of alcohol have been partitioned in subgroups with low, intermediate or high probability of positive treatment outcome, using recursive partitioning classification tree analysis.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Romania 1 1%
Unknown 65 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Researcher 17 25%
Other 7 10%
Student > Doctoral Student 6 9%
Unspecified 5 7%
Other 15 22%
Readers by discipline Count As %
Psychology 23 34%
Medicine and Dentistry 18 27%
Unspecified 9 13%
Social Sciences 7 10%
Agricultural and Biological Sciences 4 6%
Other 6 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 25 September 2013.
All research outputs
#782,604
of 4,507,280 outputs
Outputs from BMC Public Health
#1,341
of 5,092 outputs
Outputs of similar age
#18,173
of 88,840 outputs
Outputs of similar age from BMC Public Health
#95
of 300 outputs
Altmetric has tracked 4,507,280 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,092 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 73% of its peers.
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 88,840 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.