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Marsh rabbit mortalities tie pythons to the precipitous decline of mammals in the Everglades

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, April 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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16 news outlets
blogs
4 blogs
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32 X users
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6 Facebook pages
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3 Wikipedia pages
googleplus
4 Google+ users
reddit
1 Redditor

Citations

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71 Dimensions

Readers on

mendeley
152 Mendeley
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Title
Marsh rabbit mortalities tie pythons to the precipitous decline of mammals in the Everglades
Published in
Proceedings of the Royal Society B: Biological Sciences, April 2015
DOI 10.1098/rspb.2015.0120
Pubmed ID
Authors

Robert A. McCleery, Adia Sovie, Robert N. Reed, Mark W. Cunningham, Margaret E. Hunter, Kristen M. Hart

Abstract

To address the ongoing debate over the impact of invasive species on native terrestrial wildlife, we conducted a large-scale experiment to test the hypothesis that invasive Burmese pythons (Python molurus bivittatus) were a cause of the precipitous decline of mammals in Everglades National Park (ENP). Evidence linking pythons to mammal declines has been indirect and there are reasons to question whether pythons, or any predator, could have caused the precipitous declines seen across a range of mammalian functional groups. Experimentally manipulating marsh rabbits, we found that pythons accounted for 77% of rabbit mortalities within 11 months of their translocation to ENP and that python predation appeared to preclude the persistence of rabbit populations in ENP. On control sites, outside of the park, no rabbits were killed by pythons and 71% of attributable marsh rabbit mortalities were classified as mammal predations. Burmese pythons pose a serious threat to the faunal communities and ecological functioning of the Greater Everglades Ecosystem, which will probably spread as python populations expand their range.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
India 1 <1%
Guatemala 1 <1%
Unknown 144 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 28 18%
Student > Master 23 15%
Researcher 20 13%
Student > Ph. D. Student 20 13%
Student > Doctoral Student 7 5%
Other 20 13%
Unknown 34 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 42%
Environmental Science 33 22%
Biochemistry, Genetics and Molecular Biology 7 5%
Computer Science 2 1%
Social Sciences 2 1%
Other 10 7%
Unknown 34 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 192. 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 September 2023.
All research outputs
#207,729
of 25,401,381 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#494
of 11,344 outputs
Outputs of similar age
#2,166
of 280,153 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#8
of 138 outputs
Altmetric has tracked 25,401,381 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,344 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.4. This one has done particularly well, scoring higher than 95% 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 280,153 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 99% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.