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Molecular Detection and Genotyping of Noroviruses

Overview of attention for article published in Food and Environmental Virology, November 2012
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Title
Molecular Detection and Genotyping of Noroviruses
Published in
Food and Environmental Virology, November 2012
DOI 10.1007/s12560-012-9092-y
Pubmed ID
Authors

Ambroos Stals, Elisabeth Mathijs, Leen Baert, Nadine Botteldoorn, Sarah Denayer, Axel Mauroy, Alexandra Scipioni, Georges Daube, Katelijne Dierick, Lieve Herman, Els Van Coillie, Etienne Thiry, Mieke Uyttendaele

Abstract

Noroviruses (NoVs) are a major cause of gastroenteritis worldwide in humans and animals and are known as very infectious viral agents. They are spread through feces and vomit via several transmission routes involving person-to-person contact, food, and water. Investigation of these transmission routes requires sensitive methods for detection of NoVs. As NoVs cannot be cultivated to date, detection of these viruses relies on the use of molecular methods such as (real-time) reverse transcriptase polymerase chain reaction (RT-PCR). Regardless of the matrix, detection of NoVs generally requires three subsequent steps: a virus extraction step, RNA purification, and molecular detection of the purified RNA, occasionally followed by molecular genotyping. The current review mainly focused on the molecular detection and genotyping of NoVs. The most conserved region in the genome of human infective NoVs is the ORF1/ORF2 junction and has been used as a preferred target region for molecular detection of NoVs by methods such as (real-time) RT-PCR, NASBA, and LAMP. In case of animal NoVs, broad range molecular assays have most frequently been applied for molecular detection. Regarding genotyping of NoVs, five regions situated in the polymerase and capsid genes have been used for conventional RT-PCR amplification and sequencing. As the expected levels of NoVs on food and in water are very low and inhibition of molecular methods can occur in these matrices, quality control including adequate positive and negative controls is an essential part of NoV detection. Although the development of molecular methods for NoV detection has certainly aided in the understanding of NoV transmission, it has also led to new problems such as the question whether low levels of human NoV detected on fresh produce and shellfish could pose a threat to public health.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 20%
Researcher 15 16%
Student > Ph. D. Student 15 16%
Student > Bachelor 7 8%
Other 6 6%
Other 16 17%
Unknown 15 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 27%
Biochemistry, Genetics and Molecular Biology 16 17%
Engineering 8 9%
Environmental Science 7 8%
Immunology and Microbiology 5 5%
Other 13 14%
Unknown 19 20%
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 17 February 2013.
All research outputs
#18,329,207
of 22,696,971 outputs
Outputs from Food and Environmental Virology
#195
of 288 outputs
Outputs of similar age
#140,360
of 184,014 outputs
Outputs of similar age from Food and Environmental Virology
#6
of 7 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 15th percentile – i.e., 15% 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 184,014 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
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