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Disease and Predation: Sorting out Causes of a Bighorn Sheep (Ovis canadensis) Decline

Overview of attention for article published in PLOS ONE, February 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Title
Disease and Predation: Sorting out Causes of a Bighorn Sheep (Ovis canadensis) Decline
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0088271
Pubmed ID
Authors

Joshua B. Smith, Jonathan A. Jenks, Troy W. Grovenburg, Robert W. Klaver

Abstract

Estimating survival and documenting causes and timing of mortality events in neonate bighorn sheep (Ovis canadensis) improves understanding of population ecology and factors influencing recruitment. During 2010-2012, we captured and radiocollared 74 neonates in the Black Hills, South Dakota, of which 95% (70) died before 52 weeks of age. Pneumonia (36%) was the leading cause of mortality followed by predation (30%). We used known fate analysis in Program MARK to estimate weekly survival rates and investigate the influence of intrinsic variables on 52-week survival. Model {S1 wk, 2-8 wks, >8 wks} had the lowest AIC c (Akaike's Information Criterion corrected for small sample size) value, indicating that age (3-stage age-interval: 1 week, 2-8 weeks, and >8 weeks) best explained survival. Weekly survival estimates for 1 week, 2-8 weeks, and >8 weeks were 0.81 (95% CI = 0.70-0.88), 0.86 (95% CI = 0.81-0.90), and 0.94 (95% CI = 0.91-0.96), respectively. Overall probability of surviving 52 weeks was 0.02 (95% CI = 0.01-0.07). Of 70 documented mortalities, 21% occurred during the first week, 55% during weeks 2-8, and 23% occurred >8 weeks of age. We found pneumonia and predation were temporally heterogeneous with lambs most susceptible to predation during the first 2-3 weeks of life, while the greatest risk from pneumonia occurred from weeks 4-8. Our results indicated pneumonia was the major factor limiting recruitment followed by predation. Mortality from predation may have been partly compensatory to pneumonia and its effects were less pronounced as alternative prey became available. Given the high rates of pneumonia-caused mortality we observed, and the apparent lack of pneumonia-causing pathogens in bighorn populations in the western Black Hills, management activities should be geared towards eliminating contact between diseased and healthy populations.

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X Demographics

The data shown below were collected from the profiles of 22 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Unknown 78 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 26%
Student > Bachelor 12 15%
Researcher 11 14%
Student > Ph. D. Student 11 14%
Student > Postgraduate 4 5%
Other 12 15%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 48%
Environmental Science 11 14%
Veterinary Science and Veterinary Medicine 8 10%
Biochemistry, Genetics and Molecular Biology 3 4%
Earth and Planetary Sciences 2 2%
Other 7 9%
Unknown 11 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 18 October 2021.
All research outputs
#2,075,255
of 24,707,218 outputs
Outputs from PLOS ONE
#25,767
of 213,716 outputs
Outputs of similar age
#24,240
of 318,597 outputs
Outputs of similar age from PLOS ONE
#734
of 5,624 outputs
Altmetric has tracked 24,707,218 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 213,716 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 87% 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 318,597 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 5,624 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.