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Individual and Contextual Predictors of Involvement in Twelve‐Step Self‐Help Groups After Substance Abuse Treatment

Overview of attention for article published in American Journal of Community Psychology, August 2001
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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 (71st percentile)

Mentioned by

policy
1 policy source
wikipedia
1 Wikipedia page

Citations

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67 Dimensions

Readers on

mendeley
35 Mendeley
citeulike
3 CiteULike
Title
Individual and Contextual Predictors of Involvement in Twelve‐Step Self‐Help Groups After Substance Abuse Treatment
Published in
American Journal of Community Psychology, August 2001
DOI 10.1023/a:1010469900892
Pubmed ID
Authors

Eric S. Mankowski, Keith Humphreys, Rudolf H. Moos

Abstract

Drawing on ecological and narrative theories of self-help groups, this study tests a multilevel model predicting self-help group involvement among male veterans who received inpatient substance abuse treatment. Following K. Maton (1993), the study moves beyond the individual-level of analysis to encompass variables in the treatment and post-treatment social ecology. Surveys administered to patients (N = 3,018) and treatment staff (N = 329) assessed these predictor domains and self-help group involvement 1 year after discharge. A hierarchical linear model fit to the data indicates that greater involvement in 12-step groups after discharge is predicted by the compatibility between personal and treatment belief systems. The implications of these findings for efforts to facilitate transitions between inpatient professional treatment and community-based self-help groups are discussed.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 11%
United Kingdom 1 3%
Canada 1 3%
Unknown 29 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Student > Master 6 17%
Researcher 5 14%
Other 3 9%
Professor 2 6%
Other 6 17%
Unknown 4 11%
Readers by discipline Count As %
Psychology 16 46%
Social Sciences 6 17%
Medicine and Dentistry 5 14%
Economics, Econometrics and Finance 1 3%
Arts and Humanities 1 3%
Other 2 6%
Unknown 4 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 November 2013.
All research outputs
#5,283,441
of 24,838,271 outputs
Outputs from American Journal of Community Psychology
#278
of 1,122 outputs
Outputs of similar age
#6,685
of 39,804 outputs
Outputs of similar age from American Journal of Community Psychology
#1
of 1 outputs
Altmetric has tracked 24,838,271 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,122 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has gotten more attention than average, scoring higher than 70% 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 39,804 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 71% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them