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Host density drives macroparasite abundance across populations of a critically endangered megaherbivore

Overview of attention for article published in Oecologia, April 2015
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Title
Host density drives macroparasite abundance across populations of a critically endangered megaherbivore
Published in
Oecologia, April 2015
DOI 10.1007/s00442-015-3319-1
Pubmed ID
Authors

A. P. Stringer, W. L. Linklater

Abstract

What determines the abundance of parasites is a central question within epidemiology. Epidemiological models predict that density-dependent transmission has a principal influence on parasite abundance. However, this mechanism is seldom tested in macroparasites, perhaps because multiple, comparable populations of the same host-parasite relationship are rare. We test the influence of a range of factors on parasite abundance across 18 populations of black rhinoceros (Diceros bicornis) in South Africa. Here we show that host density strongly predicts parasite abundance at the population level for both directly and indirectly transmitted parasites. All other models were not supported. The surprising influence of a single key factor, host density, within a complex ecological system demonstrates the validity of simple epidemiological models. Establishing this previously assumed relationship between host density and parasite abundance has major implications for disease control and parasite ecology. For instance, it is central to the idea of population density thresholds for parasitism, below which a parasite would become extinct. Density-dependent transmission is also essential for calculations of the basic reproductive number, and the hypothesis that parasites may regulate host population size.

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The data shown below were collected from the profiles of 2 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
United States 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 27%
Student > Ph. D. Student 9 22%
Student > Master 5 12%
Student > Postgraduate 4 10%
Student > Bachelor 2 5%
Other 5 12%
Unknown 5 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 51%
Environmental Science 3 7%
Veterinary Science and Veterinary Medicine 2 5%
Medicine and Dentistry 2 5%
Nursing and Health Professions 1 2%
Other 5 12%
Unknown 7 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 April 2016.
All research outputs
#18,450,346
of 22,860,626 outputs
Outputs from Oecologia
#3,653
of 4,221 outputs
Outputs of similar age
#193,303
of 265,115 outputs
Outputs of similar age from Oecologia
#53
of 70 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,221 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.