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Genetic structure of Pacific Flyway avian influenza viruses is shaped by geographic location, host species, and sampling period

Overview of attention for article published in Virus Genes, January 2012
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Title
Genetic structure of Pacific Flyway avian influenza viruses is shaped by geographic location, host species, and sampling period
Published in
Virus Genes, January 2012
DOI 10.1007/s11262-011-0706-5
Pubmed ID
Authors

Yvette A. Girard, Jonathan A. Runstadler, Florian Aldehoff, Walter Boyce

Abstract

The eight gene segments of avian influenza virus (AIV) reassort frequently and rapidly to generate novel genotypes and subtypes that are transmissible to a broad range of hosts. There is evidence that AIV can have a restricted host range and can segregate in space and time. Host-virus relationships at the species, geographic, and spatial scales have not been fully defined for AIV populations of the Pacific Flyway, particularly among the diverse waterfowl that occupy the Flyway in Alaska and California. Using the sequence analysis program Bayesian Tip-association Significance testing (BaTS) created for analysis of phylogeny-trait associations, we determined whether the genetic structure of Pacific Flyway AIVs sampled between 2006 and 2008 was influenced by the host species, geographic location of virus collection, and time of sampling. In posterior sets of trees, genetically similar viruses clustered by host species for thick-billed murres and glaucous gulls (order Charadriiformes), and for northern shovelers, northern pintails, and mallards (order Anseriformes). AIVs from Alaska and California were strongly spatially structured, clustering separately by region across all segments. The timing of sampling influenced the genetic structure of California AIV gene segments, possibly reflecting waves of host species movement into wintering areas. The strength of phylogeny-trait association varied by virus segment and by trait of interest, which we hypothesize is related to the frequent genetic reassortment and interspecies transmission in waterfowl.

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Mendeley readers

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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 States 2 4%
Poland 1 2%
Denmark 1 2%
Korea, Republic of 1 2%
Unknown 41 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 30%
Professor 7 15%
Student > Ph. D. Student 7 15%
Student > Master 4 9%
Student > Bachelor 3 7%
Other 4 9%
Unknown 7 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 48%
Immunology and Microbiology 5 11%
Environmental Science 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Veterinary Science and Veterinary Medicine 2 4%
Other 5 11%
Unknown 8 17%
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 09 January 2012.
All research outputs
#15,241,259
of 22,661,413 outputs
Outputs from Virus Genes
#532
of 957 outputs
Outputs of similar age
#160,964
of 241,635 outputs
Outputs of similar age from Virus Genes
#6
of 8 outputs
Altmetric has tracked 22,661,413 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 957 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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