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The role of venues in structuring HIV, sexually transmitted infections, and risk networks among men who have sex with men

Overview of attention for article published in BMC Public Health, February 2018
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

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6 X users
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1 Redditor

Citations

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8 Dimensions

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63 Mendeley
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Title
The role of venues in structuring HIV, sexually transmitted infections, and risk networks among men who have sex with men
Published in
BMC Public Health, February 2018
DOI 10.1186/s12889-018-5140-3
Pubmed ID
Authors

Lydia N. Drumright, Sharon S. Weir, Simon D. W. Frost

Abstract

Venues form part of the sampling frame for time-location sampling, an approach often used for HIV surveillance. While sampling location is often regarded as a nuisance factor, venues may play a central role in structuring risk networks. We investigated individual reports of risk behaviors and infections among men who have sex with men (MSM) attending different venues to examine structuring of HIV risk behaviors. However, teasing apart 'risky people' from 'risky places' is difficult, as individuals cannot be randomized to attend different venues. However, we can emulate this statistically using marginal structural models, which inversely weight individuals according to their estimated probability of attending the venue. We conducted a cross-sectional survey of 609 MSM patrons of 14 bars in San Diego, California, recruited using the Priorities for Local AIDS Control Efforts (PLACE) methodology, which consists of a multi-level identification and assessment of venues for HIV risk through population surveys. Venues differed by many factors, including participants' reported age, ethnicity, number of lifetime male partners, past sexually transmitted infection (STI), and HIV status. In multivariable marginal structural models, venues demonstrated structuring of HIV+ status, past STI, and methamphetamine use, independently of individual-level characteristics. Studies using time-location sampling should consider venue as an important covariate, and the use of marginal structural models may help to identify risky venues. This may assist in widespread, economically feasible and sustainable targeted surveillance and prevention. A more mechanistic understanding of how 'risky venues' emerge and structure risk is needed.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 13%
Student > Ph. D. Student 6 10%
Student > Master 6 10%
Student > Bachelor 6 10%
Other 5 8%
Other 9 14%
Unknown 23 37%
Readers by discipline Count As %
Medicine and Dentistry 10 16%
Nursing and Health Professions 8 13%
Psychology 6 10%
Social Sciences 5 8%
Agricultural and Biological Sciences 2 3%
Other 9 14%
Unknown 23 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 11 February 2020.
All research outputs
#6,408,671
of 23,023,224 outputs
Outputs from BMC Public Health
#6,734
of 14,997 outputs
Outputs of similar age
#132,069
of 437,841 outputs
Outputs of similar age from BMC Public Health
#187
of 276 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 14,997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 54% 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 437,841 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 69% of its contemporaries.
We're also able to compare this research output to 276 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.