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Predicted Impact of Barriers to Migration on the Serengeti Wildebeest Population

Overview of attention for article published in PLOS ONE, January 2011
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
3 blogs
policy
2 policy sources
twitter
1 X user

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
271 Mendeley
citeulike
1 CiteULike
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Title
Predicted Impact of Barriers to Migration on the Serengeti Wildebeest Population
Published in
PLOS ONE, January 2011
DOI 10.1371/journal.pone.0016370
Pubmed ID
Authors

Ricardo M. Holdo, John M. Fryxell, Anthony R. E. Sinclair, Andrew Dobson, Robert D. Holt

Abstract

The Serengeti wildebeest migration is a rare and spectacular example of a once-common biological phenomenon. A proposed road project threatens to bisect the Serengeti ecosystem and its integrity. The precautionary principle dictates that we consider the possible consequences of a road completely disrupting the migration. We used an existing spatially-explicit simulation model of wildebeest movement and population dynamics to explore how placing a barrier to migration across the proposed route (thus creating two disjoint but mobile subpopulations) might affect the long-term size of the wildebeest population. Our simulation results suggest that a barrier to migration--even without causing habitat loss--could cause the wildebeest population to decline by about a third. The driver of this decline is the effect of habitat fragmentation (even without habitat loss) on the ability of wildebeest to effectively track temporal shifts in high-quality forage resources across the landscape. Given the important role of the wildebeest migration for a number of key ecological processes, these findings have potentially important ramifications for ecosystem biodiversity, structure, and function in the Serengeti.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Canada 2 <1%
United Kingdom 1 <1%
Germany 1 <1%
Spain 1 <1%
Norway 1 <1%
Unknown 260 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 21%
Researcher 48 18%
Student > Master 37 14%
Student > Bachelor 35 13%
Student > Doctoral Student 12 4%
Other 40 15%
Unknown 43 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 123 45%
Environmental Science 65 24%
Earth and Planetary Sciences 7 3%
Biochemistry, Genetics and Molecular Biology 6 2%
Economics, Econometrics and Finance 4 1%
Other 18 7%
Unknown 48 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 22 April 2021.
All research outputs
#1,504,421
of 25,795,662 outputs
Outputs from PLOS ONE
#18,599
of 224,881 outputs
Outputs of similar age
#7,667
of 196,167 outputs
Outputs of similar age from PLOS ONE
#127
of 1,310 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224,881 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 91% 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 196,167 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 96% of its contemporaries.
We're also able to compare this research output to 1,310 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 90% of its contemporaries.