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Describing a developing hybrid zone between red wolves and coyotes in eastern North Carolina, USA

Overview of attention for article published in Evolutionary Applications, June 2016
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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5 X users
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4 Facebook pages
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2 Wikipedia pages
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5 Redditors

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69 Mendeley
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Article details
Title
Describing a developing hybrid zone between red wolves and coyotes in eastern North Carolina, USA
Published in
Evolutionary Applications, June 2016
DOI 10.1111/eva.12388
Pubmed ID
Authors
Abstract

When hybridizing species come into contact, understanding the processes that regulate their interactions can help predict the future outcome of the system. This is especially relevant in conservation situations where human activities can influence hybridization dynamics. We investigated a developing hybrid zone between red wolves and coyotes in North Carolina, USA to elucidate patterns of hybridization in a system heavily managed for preservation of the red wolf genome. Using noninvasive genetic sampling of scat, we surveyed a 2880 km(2) region adjacent to the Red Wolf Experimental Population Area (RWEPA). We combined microsatellite genotypes collected from this survey with those from companion studies conducted both within and outside the RWEPA to describe the gradient of red wolf ancestry. A total of 311 individuals were genotyped at 17 loci and red wolf ancestry decreased along an east-west gradient across the RWEPA. No red wolves were found outside the RWEPA, yet half of individuals found within this area were coyotes. Hybrids composed only 4% of individuals within this landscape despite co-occurrence of the two species throughout the RWEPA. The low proportion of hybrids suggests that a combination of active management and natural isolating mechanisms may be limiting intermixing within this hybrid system.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 14 20%
Researcher 12 17%
Student > Ph. D. Student 9 13%
Student > Master 8 12%
Student > Doctoral Student 5 7%
Other 7 10%
Unknown 14 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 35 51%
Environmental Science 9 13%
Biochemistry, Genetics and Molecular Biology 3 4%
Veterinary Science and Veterinary Medicine 2 3%
Arts and Humanities 1 1%
Other 5 7%
Unknown 14 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 August 2026.
All research outputs
#4,824,767
of 34,351,437 outputs
Outputs from Evolutionary Applications
#522
of 1,792 outputs
Outputs of similar age
#57,690
of 344,542 outputs
Outputs of similar age from Evolutionary Applications
#5
of 19 outputs
Altmetric has tracked 34,351,437 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,792 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 70% 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 344,542 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 19 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 73% of its contemporaries.