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Defining the risk landscape in the context of pathogen pollution: Toxoplasma gondii in sea otters along the Pacific Rim

Overview of attention for article published in Royal Society Open Science, July 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

news
3 news outlets
twitter
5 X users
wikipedia
1 Wikipedia page

Readers on

mendeley
60 Mendeley
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Title
Defining the risk landscape in the context of pathogen pollution: Toxoplasma gondii in sea otters along the Pacific Rim
Published in
Royal Society Open Science, July 2018
DOI 10.1098/rsos.171178
Pubmed ID
Authors

Tristan L. Burgess, M. Tim Tinker, Melissa A. Miller, James L. Bodkin, Michael J. Murray, Justin A. Saarinen, Linda M. Nichol, Shawn Larson, Patricia A. Conrad, Christine K. Johnson

Abstract

Pathogens entering the marine environment as pollutants exhibit a spatial signature driven by their transport mechanisms. The sea otter (Enhydra lutris), a marine animal which lives much of its life within sight of land, presents a unique opportunity to understand land-sea pathogen transmission. Using a dataset on Toxoplasma gondii prevalence across sea otter range from Alaska to California, we found that the dominant drivers of infection risk vary depending upon the spatial scale of analysis. At the population level, regions with high T. gondii prevalence had higher human population density and a greater proportion of human-dominated land uses, suggesting a strong role for population density of the felid definitive host of this parasite. This relationship persisted when a subset of data were analysed at the individual level: large-scale patterns in sea otter T. gondii infection prevalence were largely explained by individual exposure to areas of high human housing unit density, and other landscape features associated with anthropogenic land use, such as impervious surfaces and cropping land. These results contrast with the small-scale, within-region analysis, in which age, sex and prey choice accounted for most of the variation in infection risk, and terrestrial environmental features provided little variation to help in explaining observed patterns. These results underscore the importance of spatial scale in study design when quantifying both individual-level risk factors and landscape-scale variation in infection risk.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 23%
Student > Ph. D. Student 9 15%
Student > Bachelor 7 12%
Student > Master 7 12%
Other 4 7%
Other 8 13%
Unknown 11 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 33%
Environmental Science 9 15%
Veterinary Science and Veterinary Medicine 7 12%
Medicine and Dentistry 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 7 12%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 September 2023.
All research outputs
#1,161,713
of 24,526,614 outputs
Outputs from Royal Society Open Science
#1,055
of 4,513 outputs
Outputs of similar age
#25,340
of 332,630 outputs
Outputs of similar age from Royal Society Open Science
#40
of 154 outputs
Altmetric has tracked 24,526,614 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 51.1. 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 332,630 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 154 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 74% of its contemporaries.