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Differential lung NK cell responses in avian influenza virus infected chickens correlate with pathogenicity

Overview of attention for article published in Scientific Reports, August 2013
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Article details
Title
Differential lung NK cell responses in avian influenza virus infected chickens correlate with pathogenicity
Published in
Scientific Reports, August 2013
DOI 10.1038/srep02478
Pubmed ID
Authors
Abstract

Infection of chickens with low pathogenicity avian influenza (LPAI) virus results in mild clinical signs while infection with highly pathogenic avian influenza (HPAI) viruses causes death of the birds within 36-48 hours. Since natural killer (NK) cells have been shown to play an important role in influenza-specific immunity, we hypothesise that NK cells are involved in this difference in pathogenicity. To investigate this, the role of chicken NK-cells in LPAI virus infection was studied. Next activation of lung NK cells upon HPAI virus infection was analysed. Infection with a H9N2 LPAI virus resulted in the presence of viral RNA in the lungs which coincided with enhanced activation of lung NK cells. The presence of H5N1 viruses, measured by detection of viral RNA, did not induce activation of lung NK cells. This suggests that decreased NK-cell activation may be one of the mechanisms associated with the enhanced pathogenicity of H5N1 viruses.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Malaysia 1 2%
Germany 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 10 16%
Student > Ph. D. Student 8 13%
Student > Master 6 10%
Student > Bachelor 5 8%
Lecturer 3 5%
Other 10 16%
Unknown 21 33%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 17 27%
Immunology and Microbiology 11 17%
Veterinary Science and Veterinary Medicine 5 8%
Biochemistry, Genetics and Molecular Biology 4 6%
Medicine and Dentistry 2 3%
Other 2 3%
Unknown 22 35%
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 01 September 2013.
All research outputs
#15,276,424
of 22,716,996 outputs
Outputs from Scientific Reports
#77,122
of 122,432 outputs
Outputs of similar age
#122,656
of 198,811 outputs
Outputs of similar age from Scientific Reports
#375
of 574 outputs
Altmetric has tracked 22,716,996 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 122,432 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 29th percentile – i.e., 29% 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 198,811 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 574 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.