↓ Skip to main content

Accounting for individual differences and timing of events: estimating the effect of treatment on criminal convictions in heroin users

Overview of attention for article published in BMC Medical Research Methodology, May 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
26 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Accounting for individual differences and timing of events: estimating the effect of treatment on criminal convictions in heroin users
Published in
BMC Medical Research Methodology, May 2014
DOI 10.1186/1471-2288-14-68
Pubmed ID
Authors

Jo Røislien, Thomas Clausen, Jon Michael Gran, Anne Bukten

Abstract

The reduction of crime is an important outcome of opioid maintenance treatment (OMT). Criminal intensity and treatment regimes vary among OMT patients, but this is rarely adjusted for in statistical analyses, which tend to focus on cohort incidence rates and rate ratios. The purpose of this work was to estimate the relationship between treatment and criminal convictions among OMT patients, adjusting for individual covariate information and timing of events, fitting time-to-event regression models of increasing complexity.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 15%
Student > Bachelor 3 12%
Student > Doctoral Student 3 12%
Other 3 12%
Student > Ph. D. Student 2 8%
Other 5 19%
Unknown 6 23%
Readers by discipline Count As %
Medicine and Dentistry 5 19%
Social Sciences 4 15%
Mathematics 3 12%
Psychology 3 12%
Unspecified 1 4%
Other 2 8%
Unknown 8 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 June 2014.
All research outputs
#1,976,120
of 5,037,615 outputs
Outputs from BMC Medical Research Methodology
#272
of 606 outputs
Outputs of similar age
#40,221
of 123,664 outputs
Outputs of similar age from BMC Medical Research Methodology
#9
of 26 outputs
Altmetric has tracked 5,037,615 research outputs across all sources so far. This one has received more attention than most of these and is in the 60th percentile.
So far Altmetric has tracked 606 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 54% 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 123,664 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 26 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 65% of its contemporaries.