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White-Nose Syndrome Disease Severity and a Comparison of Diagnostic Methods

Overview of attention for article published in EcoHealth, March 2016
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Title
White-Nose Syndrome Disease Severity and a Comparison of Diagnostic Methods
Published in
EcoHealth, March 2016
DOI 10.1007/s10393-016-1107-y
Pubmed ID
Authors

Liam P. McGuire, James M. Turner, Lisa Warnecke, Glenna McGregor, Trent K. Bollinger, Vikram Misra, Jeffrey T. Foster, Winifred F. Frick, A. Marm Kilpatrick, Craig K. R. Willis

Abstract

White-nose syndrome is caused by the fungus Pseudogymnoascus destructans and has killed millions of hibernating bats in North America but the pathophysiology of the disease remains poorly understood. Our objectives were to (1) assess non-destructive diagnostic methods for P. destructans infection compared to histopathology, the current gold-standard, and (2) to evaluate potential metrics of disease severity. We used data from three captive inoculation experiments involving 181 little brown bats (Myotis lucifugus) to compare histopathology, quantitative PCR (qPCR), and ultraviolet fluorescence as diagnostic methods of P. destructans infection. To assess disease severity, we considered two histology metrics (wing area with fungal hyphae, area of dermal necrosis), P. destructans fungal load (qPCR), ultraviolet fluorescence, and blood chemistry (hematocrit, sodium, glucose, pCO2, and bicarbonate). Quantitative PCR was most effective for early detection of P. destructans, while all three methods were comparable in severe infections. Correlations among hyphae and necrosis scores, qPCR, ultraviolet fluorescence, blood chemistry, and hibernation duration indicate a multi-stage pattern of disease. Disruptions of homeostasis occurred rapidly in late hibernation. Our results provide valuable information about the use of non-destructive techniques for monitoring, and provide novel insight into the pathophysiology of white-nose syndrome, with implications for developing and implementing potential mitigation strategies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Canada 1 1%
Brazil 1 1%
Unknown 87 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 23%
Student > Master 17 19%
Student > Bachelor 12 13%
Other 8 9%
Student > Ph. D. Student 7 8%
Other 11 12%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 42%
Environmental Science 16 18%
Veterinary Science and Veterinary Medicine 6 7%
Biochemistry, Genetics and Molecular Biology 4 4%
Unspecified 1 1%
Other 7 8%
Unknown 18 20%
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 11 March 2016.
All research outputs
#15,364,458
of 22,856,968 outputs
Outputs from EcoHealth
#552
of 708 outputs
Outputs of similar age
#178,034
of 299,380 outputs
Outputs of similar age from EcoHealth
#12
of 18 outputs
Altmetric has tracked 22,856,968 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 708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 15th percentile – i.e., 15% 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 299,380 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.