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Estimating the number of people who inject drugs in Australia

Overview of attention for article published in BMC Public Health, September 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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5 news outlets
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25 X users
facebook
1 Facebook page
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1 Google+ user
reddit
1 Redditor

Citations

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37 Dimensions

Readers on

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57 Mendeley
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Title
Estimating the number of people who inject drugs in Australia
Published in
BMC Public Health, September 2017
DOI 10.1186/s12889-017-4785-7
Pubmed ID
Authors

Sarah Larney, Matthew Hickman, Rebecca Guy, Jason Grebely, Gregory J. Dore, Richard T. Gray, Carolyn A. Day, Jo Kimber, Louisa Degenhardt

Abstract

Injecting drug use is associated with considerable morbidity and mortality. Estimates of the size of the population of people who inject drugs are critical to inform service planning and estimate disease burden due to injecting drug use. We aimed to estimate the size of the population of people who inject drugs in Australia. We applied a multiplier method which used benchmark data (number of people in opioid substitution therapy (OST) on a snapshot day in 2014) and multiplied it by a factor derived from the prevalence of current OST among people who inject drugs participating in the Australian Needle and Syringe Program Survey in 2014. Estimates of the total population of people who inject drugs were calculated in each state and territory and summed to produce a national estimate. We used the sex and age group distribution seen in datasets relating to people who inject drugs to derive sex- and age-stratified estimates, and calculated prevalence per 1000 population. Between 68,000 and 118,000 people aged 15-64 years inject drugs in Australia. The population prevalence of injecting drug use was 6.0 (lower and upper uncertainty intervals of 4.3 and 7.6) per 1000 people aged 15-64 years. Injecting drug use was more common among men than women, and most common among those aged 35-44 years. Comparison of expected drug-related deaths based on these estimates to actual deaths suggest that these figures may be underestimates. These are the first indirect prevalence estimates of injecting drug use in Australia in over a decade. This work has identified that there are limited data available to inform estimates of this population. These estimates can be used as a basis for further work estimating injecting drug use in Australia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 19%
Researcher 7 12%
Student > Bachelor 6 11%
Other 6 11%
Student > Ph. D. Student 6 11%
Other 7 12%
Unknown 14 25%
Readers by discipline Count As %
Medicine and Dentistry 10 18%
Nursing and Health Professions 9 16%
Economics, Econometrics and Finance 3 5%
Agricultural and Biological Sciences 3 5%
Immunology and Microbiology 2 4%
Other 9 16%
Unknown 21 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 02 April 2018.
All research outputs
#641,951
of 23,880,375 outputs
Outputs from BMC Public Health
#633
of 15,684 outputs
Outputs of similar age
#14,260
of 323,883 outputs
Outputs of similar age from BMC Public Health
#9
of 141 outputs
Altmetric has tracked 23,880,375 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,684 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done particularly well, scoring higher than 95% 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 323,883 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.