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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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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

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7 X users

Citations

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12 Dimensions

Readers on

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118 Mendeley
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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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Romania 1 <1%
Brazil 1 <1%
Unknown 116 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 19%
Student > Ph. D. Student 21 18%
Student > Bachelor 11 9%
Student > Master 9 8%
Other 7 6%
Other 23 19%
Unknown 25 21%
Readers by discipline Count As %
Psychology 34 29%
Medicine and Dentistry 26 22%
Social Sciences 7 6%
Nursing and Health Professions 5 4%
Agricultural and Biological Sciences 4 3%
Other 12 10%
Unknown 30 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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
#7,371,970
of 22,710,079 outputs
Outputs from BMC Public Health
#7,758
of 14,784 outputs
Outputs of similar age
#64,745
of 193,543 outputs
Outputs of similar age from BMC Public Health
#154
of 291 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 14,784 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 46th percentile – i.e., 46% 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 193,543 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 66% of its contemporaries.
We're also able to compare this research output to 291 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.