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Potential distribution of the viral haemorrhagic septicaemia virus in the Great Lakes region

Overview of attention for article published in Journal of Fish Diseases, May 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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2 tweeters
facebook
1 Facebook page

Citations

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13 Dimensions

Readers on

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48 Mendeley
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Title
Potential distribution of the viral haemorrhagic septicaemia virus in the Great Lakes region
Published in
Journal of Fish Diseases, May 2016
DOI 10.1111/jfd.12490
Pubmed ID
Authors

L E Escobar, G Kurath, J Escobar-Dodero, M E Craft, N B D Phelps

Abstract

Viral haemorrhagic septicaemia virus (VHSV) genotype IVb has been responsible for large-scale fish mortality events in the Great Lakes of North America. Anticipating the areas of potential VHSV occurrence is key to designing epidemiological surveillance and disease prevention strategies in the Great Lakes basin. We explored the environmental features that could shape the distribution of VHSV, based on remote sensing and climate data via ecological niche modelling. Variables included temperature measured during the day and night, precipitation, vegetation, bathymetry, solar radiation and topographic wetness. VHSV occurrences were obtained from available reports of virus confirmation in laboratory facilities. We fit a Maxent model using VHSV-IVb reports and environmental variables under different parameterizations to identify the best model to determine potential VHSV occurrence based on environmental suitability. VHSV reports were generated from both passive and active surveillance. VHSV occurrences were most abundant near shore sites. We were, however, able to capture the environmental signature of VHSV based on the environmental variables employed in our model, allowing us to identify patterns of VHSV potential occurrence. Our findings suggest that VHSV is not at an ecological equilibrium and more areas could be affected, including areas not in close geographic proximity to past VHSV reports.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Ph. D. Student 8 17%
Student > Master 7 15%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Other 6 13%
Unknown 11 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 27%
Environmental Science 7 15%
Veterinary Science and Veterinary Medicine 3 6%
Biochemistry, Genetics and Molecular Biology 3 6%
Business, Management and Accounting 2 4%
Other 5 10%
Unknown 15 31%

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 05 March 2017.
All research outputs
#6,625,776
of 12,349,442 outputs
Outputs from Journal of Fish Diseases
#291
of 672 outputs
Outputs of similar age
#110,842
of 274,411 outputs
Outputs of similar age from Journal of Fish Diseases
#8
of 36 outputs
Altmetric has tracked 12,349,442 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 672 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 56% 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 274,411 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 58% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.