↓ Skip to main content

Genetic Relatedness among Hepatitis A Virus Strains Associated with Food-Borne Outbreaks

Overview of attention for article published in PLOS ONE, November 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
32 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genetic Relatedness among Hepatitis A Virus Strains Associated with Food-Borne Outbreaks
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0074546
Pubmed ID
Authors

Gilberto Vaughan, Guoliang Xia, Joseph C. Forbi, Michael A. Purdy, Lívia Maria Gonçalves Rossi, Philip R. Spradling, Yury E. Khudyakov

Abstract

The genetic characterization of hepatitis A virus (HAV) strains is commonly accomplished by sequencing subgenomic regions, such as the VP1/P2B junction. HAV genome is not extensively variable, thus presenting opportunity for sharing sequences of subgenomic regions among genetically unrelated isolates. The degree of misrepresentation of phylogenetic relationships by subgenomic regions is especially important for tracking transmissions. Here, we analyzed whole-genome (WG) sequences of 101 HAV strains identified from 4 major multi-state, food-borne outbreaks of hepatitis A in the Unites States and from 14 non-outbreak-related HAV strains that shared identical VP1/P2B sequences with the outbreak strains. Although HAV strains with an identical VP1/P2B sequence were specific to each outbreak, WG were different, with genetic diversity reaching 0.31% (mean 0.09%). Evaluation of different subgenomic regions did not identify any other section of the HAV genome that could accurately represent phylogenetic relationships observed using WG sequences. The identification of 2-3 dominant HAV strains in 3 out of 4 outbreaks indicates contamination of the implicated food items with a heterogeneous HAV population. However, analysis of intra-host HAV variants from eight patients involved in one outbreak showed that only a single sequence variant established infection in each patient. Four non-outbreak strains were found closely related to strains from 2 outbreaks, whereas ten were genetically different from the outbreak strains. Thus, accurate tracking of HAV strains can be accomplished using HAV WG sequences, while short subgenomic regions are useful for identification of transmissions only among cases with known epidemiological association.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
Colombia 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Ph. D. Student 6 19%
Student > Master 5 16%
Other 4 13%
Student > Bachelor 2 6%
Other 6 19%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 22%
Medicine and Dentistry 7 22%
Biochemistry, Genetics and Molecular Biology 3 9%
Immunology and Microbiology 3 9%
Environmental Science 2 6%
Other 3 9%
Unknown 7 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 November 2013.
All research outputs
#12,594,824
of 22,731,677 outputs
Outputs from PLOS ONE
#97,409
of 194,033 outputs
Outputs of similar age
#105,653
of 215,644 outputs
Outputs of similar age from PLOS ONE
#2,506
of 5,222 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,033 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 49th percentile – i.e., 49% 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 215,644 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 50% of its contemporaries.
We're also able to compare this research output to 5,222 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.