Title |
The impact of drug use patterns on mortality among polysubstance users in a Canadian setting: a prospective cohort study
|
---|---|
Published in |
BMC Public Health, November 2014
|
DOI | 10.1186/1471-2458-14-1153 |
Pubmed ID | |
Authors |
Anna Hayden, Kanna Hayashi, Huiru Dong, Michael-John Milloy, Thomas Kerr, Julio SG Montaner, Evan Wood |
Abstract |
Illicit drug use is a well-established risk factor for morbidity and mortality. However, few studies have examined the impact of different drug use patterns on mortality among polysubstance using populations. This study aimed to identify drug-specific patterns of mortality among a cohort of polysubstance using persons who inject drugs (PWIDs). |
X Demographics
The data shown below were collected from the profiles of 11 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 | 6 | 55% |
Canada | 2 | 18% |
Unknown | 3 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 82% |
Practitioners (doctors, other healthcare professionals) | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Norway | 1 | 2% |
Unknown | 48 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 18% |
Other | 7 | 14% |
Student > Master | 7 | 14% |
Student > Bachelor | 5 | 10% |
Professor | 2 | 4% |
Other | 7 | 14% |
Unknown | 13 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 32% |
Social Sciences | 4 | 8% |
Nursing and Health Professions | 4 | 8% |
Neuroscience | 2 | 4% |
Agricultural and Biological Sciences | 2 | 4% |
Other | 6 | 12% |
Unknown | 16 | 32% |
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 04 December 2014.
All research outputs
#5,462,315
of 22,769,322 outputs
Outputs from BMC Public Health
#5,393
of 14,840 outputs
Outputs of similar age
#60,349
of 262,797 outputs
Outputs of similar age from BMC Public Health
#97
of 272 outputs
Altmetric has tracked 22,769,322 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 14,840 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 63% 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 262,797 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 77% of its contemporaries.
We're also able to compare this research output to 272 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 64% of its contemporaries.