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Identifying Hendra Virus Diversity in Pteropid Bats

Overview of attention for article published in PLOS ONE, September 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
facebook
1 Facebook page

Citations

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87 Dimensions

Readers on

mendeley
120 Mendeley
citeulike
1 CiteULike
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Title
Identifying Hendra Virus Diversity in Pteropid Bats
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0025275
Pubmed ID
Authors

Ina Smith, Alice Broos, Carol de Jong, Anne Zeddeman, Craig Smith, Greg Smith, Fred Moore, Jennifer Barr, Gary Crameri, Glenn Marsh, Mary Tachedjian, Meng Yu, Yu Hsin Kung, Lin-Fa Wang, Hume Field

Abstract

Hendra virus (HeV) causes a zoonotic disease with high mortality that is transmitted to humans from bats of the genus Pteropus (flying foxes) via an intermediary equine host. Factors promoting spillover from bats to horses are uncertain at this time, but plausibly encompass host and/or agent and/or environmental factors. There is a lack of HeV sequence information derived from the natural bat host, as previously sequences have only been obtained from horses or humans following spillover events. In order to obtain an insight into possible variants of HeV circulating in flying foxes, collection of urine was undertaken in multiple flying fox roosts in Queensland, Australia. HeV was found to be geographically widespread in flying foxes with a number of HeV variants circulating at the one time at multiple locations, while at times the same variant was found circulating at disparate locations. Sequence diversity within variants allowed differentiation on the basis of nucleotide changes, and hypervariable regions in the genome were identified that could be used to differentiate circulating variants. Further, during the study, HeV was isolated from the urine of flying foxes on four occasions from three different locations. The data indicates that spillover events do not correlate with particular HeV isolates, suggesting that host and/or environmental factors are the primary determinants of bat-horse spillover. Thus future spillover events are likely to occur, and there is an on-going need for effective risk management strategies for both human and animal health.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 2%
France 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
China 1 <1%
United States 1 <1%
Unknown 113 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 22%
Researcher 24 20%
Student > Bachelor 19 16%
Student > Master 13 11%
Student > Doctoral Student 3 3%
Other 8 7%
Unknown 27 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 38%
Medicine and Dentistry 8 7%
Veterinary Science and Veterinary Medicine 7 6%
Biochemistry, Genetics and Molecular Biology 7 6%
Immunology and Microbiology 6 5%
Other 14 12%
Unknown 32 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 02 May 2015.
All research outputs
#4,082,731
of 24,744,050 outputs
Outputs from PLOS ONE
#50,438
of 214,157 outputs
Outputs of similar age
#21,767
of 135,860 outputs
Outputs of similar age from PLOS ONE
#514
of 2,576 outputs
Altmetric has tracked 24,744,050 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 214,157 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 76% 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 135,860 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 2,576 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.