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How Long Do the Dead Survive on the Road? Carcass Persistence Probability and Implications for Road-Kill Monitoring Surveys

Overview of attention for article published in PLOS ONE, September 2011
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5 news outlets
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12 X users
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Title
How Long Do the Dead Survive on the Road? Carcass Persistence Probability and Implications for Road-Kill Monitoring Surveys
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0025383
Pubmed ID
Authors

Sara M. Santos, Filipe Carvalho, António Mira

Abstract

Road mortality is probably the best-known and visible impact of roads upon wildlife. Although several factors influence road-kill counts, carcass persistence time is considered the most important determinant underlying underestimates of road mortality. The present study aims to describe and model carcass persistence variability on the road for different taxonomic groups under different environmental conditions throughout the year; and also to assess the effect of sampling frequency on the relative variation in road-kill estimates registered within a survey.

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X Demographics

The data shown below were collected from the profiles of 12 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 417 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 6 1%
United States 3 <1%
Germany 2 <1%
Brazil 2 <1%
Chile 1 <1%
Australia 1 <1%
Sweden 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Other 5 1%
Unknown 394 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 75 18%
Student > Master 70 17%
Student > Ph. D. Student 57 14%
Student > Bachelor 54 13%
Other 29 7%
Other 57 14%
Unknown 75 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 204 49%
Environmental Science 78 19%
Earth and Planetary Sciences 7 2%
Biochemistry, Genetics and Molecular Biology 5 1%
Veterinary Science and Veterinary Medicine 5 1%
Other 29 7%
Unknown 89 21%