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Characteristics of Men Who Have Sex With Men Who Use Smartphone Geosocial Networking Applications and Implications for HIV Interventions: A Systematic Review and Meta-Analysis

Overview of attention for article published in Archives of Sexual Behavior, April 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

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Title
Characteristics of Men Who Have Sex With Men Who Use Smartphone Geosocial Networking Applications and Implications for HIV Interventions: A Systematic Review and Meta-Analysis
Published in
Archives of Sexual Behavior, April 2016
DOI 10.1007/s10508-016-0709-3
Pubmed ID
Authors

Huachun Zou, Song Fan

Abstract

Men who have sex with men (MSM) are increasingly using geosocial networking (GSN) mobile applications (apps) designed for MSM to socialize and seek sex partners. We systematically reviewed studies on the characteristics of app-using MSM and the potential feasibility of app-based HIV interventions. Existing studies provided limited parameters to compare characteristics and sexual behaviors between app-using and non-app-using MSM. Available data showed that: compared to non-app-using MSM, app-using MSM tended to be younger, identified as White (in the US and Australia), have higher educational level, report higher incomes, and had a higher rate of engagement in risky sexual behaviors and STIs. Compared to non-app-using MSM, app-using MSM were more likely to have tested for HIV in lifetime (Pooled odds ratio = 2.1, 95 % confidence interval: 1.7-2.6) and have similar HIV prevalence. Up to 676 MSM were recruited in 1 day via apps. In the current literature, there was a lack of (1) comparable parameters to measure sexual risk; (2) large longitudinal studies to clarify behavioral changes and HIV/STI incidence over time, comparing app-using and non-app-using MSM; (3) studies to examine the feasibility and efficacy of using apps to promote HIV testing among MSM; and (4) studies on similar topics from countries other than the US, Australia, and China. MSM GSN apps should be utilized in future HIV prevention and control endeavors. Researchers and health providers should collaborate with GSN app developers on these endeavors.

X Demographics

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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 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 257 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 19%
Student > Master 42 16%
Researcher 32 12%
Student > Bachelor 25 10%
Other 13 5%
Other 28 11%
Unknown 69 27%
Readers by discipline Count As %
Psychology 43 17%
Medicine and Dentistry 42 16%
Nursing and Health Professions 35 14%
Social Sciences 31 12%
Computer Science 5 2%
Other 28 11%
Unknown 73 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 July 2016.
All research outputs
#7,420,543
of 22,860,626 outputs
Outputs from Archives of Sexual Behavior
#2,119
of 3,465 outputs
Outputs of similar age
#106,640
of 300,360 outputs
Outputs of similar age from Archives of Sexual Behavior
#40
of 56 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,465 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.1. This one is in the 38th percentile – i.e., 38% 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 300,360 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 64% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.