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Has the Time Come for Big Science in Wildlife Health?

Overview of attention for article published in EcoHealth, October 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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3 X users
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1 Facebook page

Citations

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21 Dimensions

Readers on

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97 Mendeley
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Title
Has the Time Come for Big Science in Wildlife Health?
Published in
EcoHealth, October 2013
DOI 10.1007/s10393-013-0880-0
Pubmed ID
Authors

Jonathan Mark Sleeman

Abstract

The consequences of wildlife emerging diseases are global and profound with increased burden on the public health system, negative impacts on the global economy, declines and extinctions of wildlife species, and subsequent loss of ecological integrity. Examples of health threats to wildlife include Batrachochytrium dendrobatidis, which causes a cutaneous fungal infection of amphibians and is linked to declines of amphibians globally; and the recently discovered Pseudogymnoascus (Geomyces) destructans, the etiologic agent of white nose syndrome which has caused precipitous declines of North American bat species. Of particular concern are the novel pathogens that have emerged as they are particularly devastating and challenging to manage. A big science approach to wildlife health research is needed if we are to make significant and enduring progress in managing these diseases. The advent of new analytical models and bench assays will provide us with the mathematical and molecular tools to identify and anticipate threats to wildlife, and understand the ecology and epidemiology of these diseases. Specifically, new molecular diagnostic techniques have opened up avenues for pathogen discovery, and the application of spatially referenced databases allows for risk assessments that can assist in targeting surveillance. Long-term, systematic collection of data for wildlife health and integration with other datasets is also essential. Multidisciplinary research programs should be expanded to increase our understanding of the drivers of emerging diseases and allow for the development of better disease prevention and management tools, such as vaccines. Finally, we need to create a National Fish and Wildlife Health Network that provides the operational framework (governance, policies, procedures, etc.) by which entities with a stake in wildlife health cooperate and collaborate to achieve optimal outcomes for human, animal, and ecosystem health.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Mexico 1 1%
Canada 1 1%
South Africa 1 1%
Unknown 91 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 19%
Student > Ph. D. Student 14 14%
Student > Bachelor 10 10%
Student > Master 9 9%
Other 9 9%
Other 26 27%
Unknown 11 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 35%
Environmental Science 12 12%
Veterinary Science and Veterinary Medicine 10 10%
Medicine and Dentistry 9 9%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 12 12%
Unknown 17 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2013.
All research outputs
#7,377,586
of 22,727,570 outputs
Outputs from EcoHealth
#366
of 706 outputs
Outputs of similar age
#70,492
of 211,746 outputs
Outputs of similar age from EcoHealth
#6
of 14 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 706 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 48th percentile – i.e., 48% 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 211,746 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 66% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.