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Repeat HIV-testing is associated with an increase in behavioral risk among men who have sex with men: a cohort study

Overview of attention for article published in BMC Medicine, October 2015
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  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

6 tweeters
1 Facebook page


44 Dimensions

Readers on

80 Mendeley
2 CiteULike
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Repeat HIV-testing is associated with an increase in behavioral risk among men who have sex with men: a cohort study
Published in
BMC Medicine, October 2015
DOI 10.1186/s12916-015-0458-5
Pubmed ID

Martin Hoenigl, Christy M. Anderson, Nella Green, Sanjay R. Mehta, Davey M. Smith, Susan J. Little


The Center for Disease Control and Prevention recommends that high-risk groups, like sexually active men who have sex with men (MSM), receive HIV testing and counseling at least annually. The objective of this study was to investigate the relationship between voluntary repeat HIV testing and sexual risk behavior in MSM receiving rapid serologic and nucleic acid amplification testing. We performed a cohort study to analyze reported risk behavior among MSM receiving the "Early Test", a community-based, confidential acute and early HIV infection screening program in San Diego, California, between April 2008 and July 2014. The study included 8,935 MSM receiving 17,333 "Early Tests". A previously published risk behavior score for HIV acquisition in MSM (i.e. Menza score) was chosen as an outcome to assess associations between risk behaviors and number of repeated tests. At baseline, repeat-testers (n = 3,202) reported more male partners and more condomless receptive anal intercourse (CRAI) when compared to single-testers (n = 5,405, all P <0.001). In 2,457 repeat testers there was a strong association observed between repeated HIV tests obtained and increased risk behavior, with number of male partners, CRAI with high risk persons, non-injection stimulant drug use, and sexually transmitted infections all increasing between the first and last test. There was also a linear increase of risk (i.e. high Menza scores) with number of tests up to the 17th test. In the multivariable mixed effects model, more HIV tests (OR = 1.18 for each doubling of the number of tests, P <0.001) and younger age (OR = 0.95 per 5-year increase, P = 0.006) had significant associations with high Menza scores. This study found that the highest risk individuals for acquiring HIV (e.g. candidates for antiretroviral pre-exposure prophylaxis) can be identified by their testing patterns. Future studies should delineate causation versus association to improve prevention messages delivered to repeat testers during HIV testing and counseling sessions.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 79 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 30%
Researcher 19 24%
Student > Bachelor 8 10%
Student > Ph. D. Student 7 9%
Student > Postgraduate 5 6%
Other 10 13%
Unknown 7 9%
Readers by discipline Count As %
Medicine and Dentistry 32 40%
Social Sciences 11 14%
Nursing and Health Professions 10 13%
Psychology 7 9%
Agricultural and Biological Sciences 3 4%
Other 6 8%
Unknown 11 14%

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 28 January 2016.
All research outputs
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Outputs from BMC Medicine
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Outputs of similar age
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Outputs of similar age from BMC Medicine
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Altmetric has tracked 17,836,527 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,744 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.2. This one is in the 24th percentile – i.e., 24% 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 260,351 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 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them