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Prescription opioid misuse and its relation to injection drug use and hepatitis C virus infection: protocol for a systematic review and meta-analysis

Overview of attention for article published in Systematic Reviews, September 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Prescription opioid misuse and its relation to injection drug use and hepatitis C virus infection: protocol for a systematic review and meta-analysis
Published in
Systematic Reviews, September 2014
DOI 10.1186/2046-4053-3-95
Pubmed ID
Authors

Ashly E Jordan, Don Des Jarlais, Holly Hagan

Abstract

The production, prescription, and consumption of opioid analgesics to treat non-cancer pain have increased dramatically in the USA in the past decade. As a result, misuse of these opioids has increased; overdose and transition to riskier forms of drug use have also emerged. Research points to a trend in transition to drug injection among those misusing prescription opioids, where clusters of acute hepatitis C virus (HCV) infection are now being reported. This systematic review and meta-analysis aims to synthesize the prevalence of prescription opioid misuse in the USA and examine the rate of transition to injection drug use and incident HCV in these new people who inject drugs (PWID).

Twitter Demographics

The data shown below were collected from the profiles of 4 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 24%
Student > Ph. D. Student 6 16%
Researcher 6 16%
Other 4 11%
Student > Doctoral Student 4 11%
Other 4 11%
Unknown 5 13%
Readers by discipline Count As %
Medicine and Dentistry 13 34%
Nursing and Health Professions 4 11%
Social Sciences 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Agricultural and Biological Sciences 2 5%
Other 8 21%
Unknown 6 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 September 2014.
All research outputs
#7,497,181
of 13,533,438 outputs
Outputs from Systematic Reviews
#822
of 1,161 outputs
Outputs of similar age
#80,141
of 200,252 outputs
Outputs of similar age from Systematic Reviews
#3
of 5 outputs
Altmetric has tracked 13,533,438 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,161 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 28th percentile – i.e., 28% 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 200,252 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 58% of its contemporaries.
We're also able to compare this research output to 5 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.