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The Epidemic of Human Immunodeficiency Virus, Hepatitis C Virus, and Syphilis Infection, and the Correlates of Sexually Transmitted Infections among Men Who Have Sex with Men in Zhenjiang, Jiangsu…

Overview of attention for article published in Japanese Journal of Infectious Diseases, January 2017
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Mentioned by

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4 tweeters

Citations

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5 Dimensions

Readers on

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14 Mendeley
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Title
The Epidemic of Human Immunodeficiency Virus, Hepatitis C Virus, and Syphilis Infection, and the Correlates of Sexually Transmitted Infections among Men Who Have Sex with Men in Zhenjiang, Jiangsu, China
Published in
Japanese Journal of Infectious Diseases, January 2017
DOI 10.7883/yoken.jjid.2015.464
Pubmed ID
Authors

Li Shen, Xiaoxia Liu, GengFeng Fu, Shixuan Hao, Minghui Zhang, Ting Wang, Jing Yang, Xiao Wu, Lingxiang Mao

Abstract

To investigate the epidemic of HIV, HCV and syphilis, HIV-1 subtype among men who have sex with men (MSM) and to measure factors that correlated with sexual transmitted infections (STIs), a cross-sectional survey was conducted among 657 MSM in Zhenjiang, Jiangsu, during 2012-2013. Social-demographic characterization and risky behaviors were collected and blood samples were obtained. In this survey, the prevalence of STIs of HIV (5.3%), HCV (0.6%) and syphilis (19.2%) were measured. Of 35 HIV-infected MSM, 1 (0.2%) and 17 (2.6%) were co-infected with HCV and syphilis. Among 33 samples with available HIV-1 genomic fragments sequences, 6.1% B, 72.7% CRF01_AE and 21.2% CRF07_BC were indentified. Multivariate logistic regression analysis showed that age>30 years (OR 2.002; 95% CI 1.144 to 3.502) and having had STIs symptoms in the past year (OR 11.673; 95% CI 3.092 to 44.078) were positively correlated with STIs positive, while consistently use condom when have sex with male partners (OR 0.621; 95% CI 0.408 to 0.945) was significantly associated with a low STIs rate. The worsening epidemic of HIV, HCV and syphilis, complex subtypes of HIV-1 and risk factors suggest that effective intervention strategies should be strengthened for MSM in Zhenjiang, Jiangsu.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 36%
Student > Doctoral Student 2 14%
Other 1 7%
Researcher 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Medicine and Dentistry 6 43%
Agricultural and Biological Sciences 1 7%
Economics, Econometrics and Finance 1 7%
Nursing and Health Professions 1 7%
Unknown 5 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 May 2017.
All research outputs
#7,554,873
of 12,528,314 outputs
Outputs from Japanese Journal of Infectious Diseases
#98
of 372 outputs
Outputs of similar age
#130,518
of 259,294 outputs
Outputs of similar age from Japanese Journal of Infectious Diseases
#1
of 1 outputs
Altmetric has tracked 12,528,314 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 372 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 71% 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 259,294 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
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