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Estimating the prevalence of illicit opioid use in New York City using multiple data sources

Overview of attention for article published in BMC Public Health, June 2012
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5 X users
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1 Facebook page

Citations

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34 Dimensions

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91 Mendeley
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Title
Estimating the prevalence of illicit opioid use in New York City using multiple data sources
Published in
BMC Public Health, June 2012
DOI 10.1186/1471-2458-12-443
Pubmed ID
Authors

Jennifer McNeely, Marc N Gourevitch, Denise Paone, Sharmila Shah, Shana Wright, Daliah Heller

Abstract

Despite concerns about its health and social consequences, little is known about the prevalence of illicit opioid use in New York City. Individuals who misuse heroin and prescription opioids are known to bear a disproportionate burden of morbidity and mortality. Service providers and public health authorities are challenged to provide appropriate interventions in the absence of basic knowledge about the size and characteristics of this population. While illicit drug users are underrepresented in population-based surveys, they may be identified in multiple administrative data sources.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 90 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Researcher 14 15%
Student > Master 13 14%
Other 8 9%
Student > Bachelor 6 7%
Other 15 16%
Unknown 17 19%
Readers by discipline Count As %
Medicine and Dentistry 33 36%
Social Sciences 8 9%
Nursing and Health Professions 6 7%
Psychology 6 7%
Agricultural and Biological Sciences 4 4%
Other 15 16%
Unknown 19 21%
Attention Score in Context

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 August 2012.
All research outputs
#12,663,971
of 22,668,244 outputs
Outputs from BMC Public Health
#8,644
of 14,746 outputs
Outputs of similar age
#86,635
of 164,521 outputs
Outputs of similar age from BMC Public Health
#140
of 270 outputs
Altmetric has tracked 22,668,244 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 14,746 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 40th percentile – i.e., 40% 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 164,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 270 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.