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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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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
11 news outlets
blogs
4 blogs
twitter
35 tweeters
facebook
6 Facebook pages
googleplus
4 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
95 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.

Twitter Demographics

The data shown below were collected from the profiles of 35 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 6%
Guatemala 1 1%
India 1 1%
Unknown 87 92%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 18%
Student > Master 16 17%
Researcher 15 16%
Student > Ph. D. Student 15 16%
Unspecified 8 8%
Other 24 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 56%
Environmental Science 25 26%
Unspecified 7 7%
Biochemistry, Genetics and Molecular Biology 4 4%
Computer Science 1 1%
Other 5 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 150. 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 06 March 2019.
All research outputs
#95,445
of 13,457,898 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#258
of 7,504 outputs
Outputs of similar age
#2,146
of 219,711 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#11
of 148 outputs
Altmetric has tracked 13,457,898 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 7,504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one has done particularly well, scoring higher than 96% 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 219,711 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 148 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 92% of its contemporaries.