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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 154)
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
5 X users
facebook
1 Facebook page
reddit
1 Redditor

Readers on

mendeley
154 Mendeley
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Article details
Title
A review of contingency management for the treatment of substance-use disorders: adaptation for underserved populations, use of experimental technologies, and personalized optimization strategies
Published in
Substance abuse and rehabilitation, August 2018
DOI 10.2147/sar.s138439
Pubmed ID
Authors
Abstract

This review of contingency management (CM; the behavior-modification method of providing reinforcement in exchange for objective evidence of a desired behavior) for the treatment of substance-use disorders (SUDs) begins by describing the origins of CM and how it has come to be most commonly used during the treatment of SUDs. Our core objective is to review, describe, and discuss three ongoing critical advancements in CM. We review key emerging areas wherein CM will likely have an impact. In total, we qualitatively reviewed 31 studies in a systematic fashion after searching PubMed and Google Scholar. We then describe and highlight CM investigations across three broad themes: adapting CM for underserved populations, CM with experimental technologies, and optimizing CM for personalized interventions. Technological innovations that allow for mobile delivery of reinforcers in exchange for objective evidence of a desired behavior will likely expand the possible applications of CM throughout the SUD-treatment domain and into therapeutically related areas (eg, serious mental illness). When this mobile technology is coupled with new, easy-to-utilize biomarkers, the adaptation for individual goal setting and delivery of CM-based SUD treatment in hard-to-reach places (eg, rural locations) can have a sustained impact on communities most affected by these disorders. In conclusion, there is still much to be done, not only technologically but also in convincing policy makers to adopt this well-established, cost-effective, and evidence-based method of behavior modification.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 154 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 17 11%
Student > Master 14 9%
Other 13 8%
Student > Ph. D. Student 13 8%
Professor 9 6%
Other 29 19%
Unknown 59 38%
Readers by discipline
Readers by discipline Count As %
Psychology 34 22%
Medicine and Dentistry 26 17%
Social Sciences 10 6%
Nursing and Health Professions 9 6%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 6 4%
Unknown 67 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 10 September 2022.
All research outputs
#3,356,456
of 34,376,207 outputs
Outputs from Substance abuse and rehabilitation
#42
of 154 outputs
Outputs of similar age
#49,798
of 372,408 outputs
Outputs of similar age from Substance abuse and rehabilitation
#2
of 4 outputs
Altmetric has tracked 34,376,207 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 154 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.2. This one has gotten more attention than average, scoring higher than 72% 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 372,408 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 86% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.