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Identification and characterization of Highlands J virus from a Mississippi sandhill crane using unbiased next-generation sequencing

Overview of attention for article published in Journal of Virological Methods, May 2014
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
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Title
Identification and characterization of Highlands J virus from a Mississippi sandhill crane using unbiased next-generation sequencing
Published in
Journal of Virological Methods, May 2014
DOI 10.1016/j.jviromet.2014.05.018
Pubmed ID
Authors

Hon S Ip, Michael R Wiley, Renee Long, Gustavo Palacios, Valerie Shearn-Bochsler, Chris A Whitehouse

Abstract

Advances in massively parallel DNA sequencing platforms, commonly termed next-generation sequencing (NGS) technologies, have greatly reduced time, labor, and cost associated with DNA sequencing. Thus, NGS has become a routine tool for new viral pathogen discovery and will likely become the standard for routine laboratory diagnostics of infectious diseases in the near future. This study demonstrated the application of NGS for the rapid identification and characterization of a virus isolated from the brain of an endangered Mississippi sandhill crane. This bird was part of a population restoration effort and was found in an emaciated state several days after Hurricane Isaac passed over the refuge in Mississippi in 2012. Post-mortem examination had identified trichostrongyliasis as the possible cause of death, but because a virus with morphology consistent with a togavirus was isolated from the brain of the bird, an arboviral etiology was strongly suspected. Because individual molecular assays for several known arboviruses were negative, unbiased NGS by Illumina MiSeq was used to definitively identify and characterize the causative viral agent. Whole genome sequencing and phylogenetic analysis revealed the viral isolate to be the Highlands J virus, a known avian pathogen. This study demonstrates the use of unbiased NGS for the rapid detection and characterization of an unidentified viral pathogen and the application of this technology to wildlife disease diagnostics and conservation medicine.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
United Kingdom 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Ph. D. Student 5 12%
Student > Bachelor 4 10%
Professor 4 10%
Student > Master 4 10%
Other 6 15%
Unknown 10 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 17%
Agricultural and Biological Sciences 6 15%
Veterinary Science and Veterinary Medicine 4 10%
Immunology and Microbiology 4 10%
Medicine and Dentistry 2 5%
Other 4 10%
Unknown 14 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 May 2015.
All research outputs
#14,388,554
of 25,374,647 outputs
Outputs from Journal of Virological Methods
#2,307
of 3,282 outputs
Outputs of similar age
#114,383
of 240,308 outputs
Outputs of similar age from Journal of Virological Methods
#18
of 32 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,282 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 240,308 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.