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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 50% |
| Switzerland | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 14% |
| Other | 4 | 14% |
| Student > Doctoral Student | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 9 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 21% |
| Social Sciences | 4 | 14% |
| Psychology | 3 | 10% |
| Mathematics | 3 | 10% |
| Nursing and Health Professions | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 38% |
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
#12,607,342
of 22,757,090 outputs
Outputs from BMC Medical Research Methodology
#1,141
of 2,008 outputs
Outputs of similar age
#102,697
of 227,399 outputs
Outputs of similar age from BMC Medical Research Methodology
#12
of 30 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,008 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 42nd percentile – i.e., 42% 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 227,399 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 54% of its contemporaries.
We're also able to compare this research output to 30 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 56% of its contemporaries.