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The use of equine influenza pseudotypes for serological screening

Overview of attention for article published in Journal of Molecular & Genetic Medicine, December 2012
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Title
The use of equine influenza pseudotypes for serological screening
Published in
Journal of Molecular & Genetic Medicine, December 2012
DOI 10.4172/1747-0862.1000054
Pubmed ID
Authors

Simon Scott, Eleonora Molesti, Nigel Temperton, Francesca Ferrara, Eva Böttcher-Friebertshäuser, Janet Daly

Abstract

Standard assays used for influenza serology present certain practical issues, such as inter-laboratory variability, complex protocols and the necessity for handling certain virus strains in high biological containment facilities. In an attempt to address this, avian and human influenza HA pseudotyped retroviruses have been successfully employed in antibody neutralization assays. In this study we generated an equine influenza pseudotyped lentivirus for serological screening. This was achieved by co-transfection of HEK293T cells with plasmids expressing the haemagglutinin (HA) protein of an H3N8 subtype equine influenza virus strain, HIV gag-pol and firefly luciferase reporter genes and harvesting virus from supernatant. In order to produce infective pseudotype particles it was necessary to additionally co-transfect a plasmid encoding the TMPRSS2 endoprotease to cleave the HA. High titre pseudotype virus (PV) was then used in PV antibody neutralization assays (PVNAs) to successfully distinguish between vaccinated and non-vaccinated equines. The sera were also screened by single radial haemolysis (SRH) assay. There was a 65% correlation between the results of the two assays, with the PVNA assay appearing slightly more sensitive. Future work will extend the testing of the PVNA with a larger number of serum samples to assess sensitivity/specificity, inter/intra-laboratory variability and to define a protective titre.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 6%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 27%
Student > Ph. D. Student 11 22%
Researcher 5 10%
Lecturer 3 6%
Student > Bachelor 3 6%
Other 4 8%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 29%
Medicine and Dentistry 9 18%
Immunology and Microbiology 5 10%
Biochemistry, Genetics and Molecular Biology 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 5 10%
Unknown 10 20%
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 16 May 2013.
All research outputs
#16,606,298
of 25,411,814 outputs
Outputs from Journal of Molecular & Genetic Medicine
#26
of 54 outputs
Outputs of similar age
#186,094
of 289,005 outputs
Outputs of similar age from Journal of Molecular & Genetic Medicine
#4
of 6 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 54 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has gotten more attention than average, scoring higher than 50% 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 289,005 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.