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Hepatitis C Virus Phylogenetic Clustering Is Associated with the Social-Injecting Network in a Cohort of People Who Inject Drugs

Overview of attention for article published in PLOS ONE, October 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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1 policy source
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7 X users
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2 Facebook pages

Citations

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Title
Hepatitis C Virus Phylogenetic Clustering Is Associated with the Social-Injecting Network in a Cohort of People Who Inject Drugs
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047335
Pubmed ID
Authors

Rachel Sacks-Davis, Galina Daraganova, Campbell Aitken, Peter Higgs, Lilly Tracy, Scott Bowden, Rebecca Jenkinson, David Rolls, Philippa Pattison, Garry Robins, Jason Grebely, Alyssa Barry, Margaret Hellard

Abstract

It is hypothesized that social networks facilitate transmission of the hepatitis C virus (HCV). We tested for association between HCV phylogeny and reported injecting relationships using longitudinal data from a social network design study. People who inject drugs were recruited from street drug markets in Melbourne, Australia. Interviews and blood tests took place three monthly (during 2005-2008), with participants asked to nominate up to five injecting partners at each interview. The HCV core region of individual isolates was then sequenced and phylogenetic trees were constructed. Genetic clusters were identified using bootstrapping (cut-off: 70%). An adjusted Jaccard similarity coefficient was used to measure the association between the reported injecting relationships and relationships defined by clustering in the phylogenetic analysis (statistical significance assessed using the quadratic assignment procedure). 402 participants consented to participate; 244 HCV infections were observed in 238 individuals. 26 genetic clusters were identified, with 2-7 infections per cluster. Newly acquired infection (AOR = 2.03, 95% CI: 1.04-3.96, p = 0.037, and HCV genotype 3 (vs. genotype 1, AOR = 2.72, 95% CI: 1.48-4.99) were independent predictors of being in a cluster. 54% of participants whose infections were part of a cluster in the phylogenetic analysis reported injecting with at least one other participant in that cluster during the study. Overall, 16% of participants who were infected at study entry and 40% of participants with newly acquired infections had molecular evidence of related infections with at least one injecting partner. Likely transmission clusters identified in phylogenetic analysis correlated with reported injecting relationships (adjusted Jaccard coefficient: 0.300; p<0.001). This is the first study to show that HCV phylogeny is associated with the injecting network, highlighting the importance of the injecting network in HCV transmission.

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X Demographics

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Mendeley readers

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 %
Portugal 1 1%
Netherlands 1 1%
United Kingdom 1 1%
Canada 1 1%
Greece 1 1%
United States 1 1%
Unknown 74 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 30%
Student > Ph. D. Student 19 24%
Student > Master 8 10%
Student > Bachelor 6 8%
Professor > Associate Professor 5 6%
Other 12 15%
Unknown 6 8%
Readers by discipline Count As %
Medicine and Dentistry 21 26%
Agricultural and Biological Sciences 21 26%
Biochemistry, Genetics and Molecular Biology 4 5%
Computer Science 3 4%
Business, Management and Accounting 3 4%
Other 16 20%
Unknown 12 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 January 2016.
All research outputs
#4,690,337
of 23,342,092 outputs
Outputs from PLOS ONE
#66,333
of 199,597 outputs
Outputs of similar age
#34,373
of 184,875 outputs
Outputs of similar age from PLOS ONE
#1,027
of 4,857 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 199,597 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 66% 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 184,875 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 4,857 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.