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X Demographics
Mendeley readers
Attention Score in Context
Title |
Baseline predictors of treatment outcome in Internet-based alcohol interventions: a recursive partitioning analysis alongside a randomized trial
|
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Published in |
BMC Public Health, May 2013
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 43% |
United Kingdom | 1 | 14% |
Ireland | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 100% |
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
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.