↓ Skip to main content

Hepatitis A virus subgenotyping based on RT-qPCR assays

Overview of attention for article published in BMC Microbiology, November 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
44 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
Hepatitis A virus subgenotyping based on RT-qPCR assays
Published in
BMC Microbiology, November 2014
DOI 10.1186/s12866-014-0296-1
Pubmed ID
Authors

Coralie Coudray-Meunier, Audrey Fraisse, Camélia Mokhtari, Sandra Martin-Latil, Anne-Marie Roque-Afonso, Sylvie Perelle

Abstract

BackgroundThe hepatitis A virus (HAV) is the most frequent cause of viral hepatitis worldwide and is recognized as one of the most widespread foodborne pathogens. HAV genotypes and subtypes differ in their geographic distribution and the incidence of HAV infection varies considerably among countries, and is particularly high in areas with poor sanitation and hygiene. Phylogenetic analyses are traditionally used in clinical microbiology for tracing the geographic origin of HAV strains. In food microbiology, this approach is complicated by the low contamination levels of food samples. To date, real-time reverse-transcription PCR has been one of the most promising detection methods due to its sensitivity, specificity and ability to deliver quantitative data in food samples, but it does not provide HAV subtyping information.ResultsSix subtype-specific RT-qPCR assays were developed for human HAV. The limit of detection of HAV was 50 genome copies / assay for subtype IIB, 500 genome copies / assay for IA, IB, IIA and IIIB and 5000 genome copies / assay for IIIA. The specificity of the assays was evaluated by testing reference isolates and in vitro HAV RNA transcripts. No significant cross reactivity was observed. Subtyping results concordant with sequencing analysis were obtained from 34/35 clinical samples. Co-infection with a minor strain of a different subtype was suggested in 5 cases and a recombinant event in one case.ConclusionsThese RT-qPCR assays may be particularly useful for accurately tracing HAV in low-level contaminated samples such as food matrices but also to allow co-infection identification in human samples.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Researcher 5 11%
Student > Bachelor 5 11%
Student > Postgraduate 4 9%
Student > Ph. D. Student 4 9%
Other 9 20%
Unknown 8 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 14%
Medicine and Dentistry 6 14%
Biochemistry, Genetics and Molecular Biology 4 9%
Immunology and Microbiology 4 9%
Engineering 3 7%
Other 8 18%
Unknown 13 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 November 2014.
All research outputs
#15,310,749
of 22,771,140 outputs
Outputs from BMC Microbiology
#1,761
of 3,184 outputs
Outputs of similar age
#214,119
of 361,642 outputs
Outputs of similar age from BMC Microbiology
#28
of 60 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,184 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 37th percentile – i.e., 37% 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 361,642 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.