↓ Skip to main content

Multiplex Evaluation of Influenza Neutralizing Antibodies with Potential Applicability to In-Field Serological Studies

Overview of attention for article published in Journal of Immunology Research, January 2014
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
46 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
Multiplex Evaluation of Influenza Neutralizing Antibodies with Potential Applicability to In-Field Serological Studies
Published in
Journal of Immunology Research, January 2014
DOI 10.1155/2014/457932
Pubmed ID
Authors

Eleonora Molesti, Edward Wright, Calogero Terregino, Rafat Rahman, Giovanni Cattoli, Nigel J. Temperton

Abstract

The increased number of outbreaks of H5 and H7 LPAI and HPAI viruses in poultry has major public and animal health implications. The continuous rapid evolution of these subtypes and the emergence of new variants influence the ability to undertake effective surveillance. Retroviral pseudotypes bearing influenza haemagglutinin (HA) and neuraminidase (NA) envelope glycoproteins represent a flexible platform for sensitive, readily standardized influenza serological assays. We describe a multiplex assay for the study of neutralizing antibodies that are directed against both influenza H5 and H7 HA. This assay permits the measurement of neutralizing antibody responses against two antigenically distinct HAs in the same serum/plasma sample thus increasing the amount and quality of serological data that can be acquired from valuable sera. Sera obtained from chickens vaccinated with a monovalent H5N2 vaccine, chickens vaccinated with a bivalent H7N1/H5N9 vaccine, or turkeys naturally infected with an H7N3 virus were evaluated in this assay and the results correlated strongly with data obtained by HI assay. We show that pseudotypes are highly stable under basic cold-chain storage conditions and following multiple rounds of freeze-thaw. We propose that this robust assay may have practical utility for in-field serosurveillance and vaccine studies in resource-limited regions worldwide.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 9%
Italy 1 2%
Unknown 41 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Master 10 22%
Student > Ph. D. Student 9 20%
Student > Bachelor 4 9%
Lecturer > Senior Lecturer 3 7%
Other 8 17%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 33%
Medicine and Dentistry 11 24%
Immunology and Microbiology 5 11%
Biochemistry, Genetics and Molecular Biology 4 9%
Engineering 2 4%
Other 6 13%
Unknown 3 7%

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 03 March 2015.
All research outputs
#10,041,166
of 12,550,210 outputs
Outputs from Journal of Immunology Research
#403
of 691 outputs
Outputs of similar age
#149,003
of 215,523 outputs
Outputs of similar age from Journal of Immunology Research
#9
of 10 outputs
Altmetric has tracked 12,550,210 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 691 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 25th percentile – i.e., 25% 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 215,523 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.