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Hepatitis C virus infection in Brazilian long-distance truck drivers

Overview of attention for article published in Virology Journal, August 2010
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Title
Hepatitis C virus infection in Brazilian long-distance truck drivers
Published in
Virology Journal, August 2010
DOI 10.1186/1743-422x-7-205
Pubmed ID
Authors

Nara R Freitas, Sheila A Teles, Marcos A Matos, Carmen LR Lopes, Nádia RS Reis, Márcia P Espírito-Santo, Elisabeth Lampe, Regina MB Martins

Abstract

Hepatitis C virus (HCV) infection is a global public health problem. Long-distance truck drivers live apart from their family for long periods of time, a lifestyle that favors at-risk behaviors such as unprotected sex with multiple partners and illicit drug use. As data concerning HCV infection in this population are still rare, this paper aims to investigate the prevalence, genotypes/subtypes, and the factors associated with HCV infection in long-distance truck drivers in Brazil. A cross-sectional survey was carried out with 641 Brazilian long-truck drivers who were recruited at a major truck stop located at kilometer 1,296 of the BR-153 highway, which is considered to be one of the longest roads in Brazil. All individuals were interviewed, and their serum samples were tested for the presence of antibodies to HCV (anti-HCV) by ELISA and immunoblot. Anti-HCV positive samples were tested for HCV RNA by PCR amplification of the 5' NC and NS5B regions and were genotyped using the LiPA assay and nucleotide sequencing, respectively. Factors associated with HCV infection were identified with logistic regression. The prevalence of HCV infection was 1.4% (95% CI: 0.7-2.8). History of blood transfusion, sharing of personal hygiene tools, illicit drug use and HBV status were factors independently associated with HCV infection in the study population. HCV RNA was detected in 8/9 anti-HCV positive samples, in which genotypes 1 (n = 3), 2 (n = 2), and 3 (n = 3) were determined by LiPA. Using phylogenetic tree analysis of the NS5B region, subtypes 1a (n = 1), 1b (n = 2), 2b (n = 2) and 3a (n = 3) were identified. These data show that the prevalence of HCV infection among Brazilian truck drivers was similar to that observed for the general population. History of blood transfusion, sharing of personal hygiene tools, illicit drug use and HBV status were predictors of HCV infection. The HCV genotypes/subtypes identified in the study population are consistent with those circulating in Brazil.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
United States 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Student > Master 6 11%
Student > Doctoral Student 6 11%
Researcher 5 9%
Professor 4 7%
Other 11 20%
Unknown 14 25%
Readers by discipline Count As %
Medicine and Dentistry 15 27%
Social Sciences 4 7%
Agricultural and Biological Sciences 3 5%
Biochemistry, Genetics and Molecular Biology 3 5%
Computer Science 2 4%
Other 12 21%
Unknown 17 30%
Attention Score in Context

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 20 January 2013.
All research outputs
#14,159,409
of 22,691,736 outputs
Outputs from Virology Journal
#1,596
of 3,030 outputs
Outputs of similar age
#73,890
of 93,844 outputs
Outputs of similar age from Virology Journal
#22
of 27 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,030 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 42nd percentile – i.e., 42% 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 93,844 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.