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The hydra effect in predator–prey models

Overview of attention for article published in Journal of Mathematical Biology, March 2011
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Title
The hydra effect in predator–prey models
Published in
Journal of Mathematical Biology, March 2011
DOI 10.1007/s00285-011-0416-6
Pubmed ID
Authors

Michael Sieber, Frank M. Hilker

Abstract

The seemingly paradoxical increase of a species population size in response to an increase in its mortality rate has been observed in several continuous-time and discrete-time models. This phenomenon has been termed the "hydra effect". In light of the fact that there is almost no empirical evidence yet for hydra effects in natural and laboratory populations, we address the question whether the examples that have been put forward are exceptions, or whether hydra effects are in fact a common feature of a wide range of models. We first propose a rigorous definition of the hydra effect in population models. Our results show that hydra effects typically occur in the well-known Gause-type models whenever the system dynamics are cyclic. We discuss the apparent discrepancy between the lack of hydra effects in natural populations and their occurrence in this standard class of predator-prey models.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 3%
United States 2 3%
Germany 1 2%
France 1 2%
United Kingdom 1 2%
Colombia 1 2%
Mexico 1 2%
Canada 1 2%
Unknown 51 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 26%
Researcher 13 21%
Student > Master 7 11%
Student > Bachelor 5 8%
Professor 4 7%
Other 9 15%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 41%
Environmental Science 12 20%
Mathematics 11 18%
Unspecified 1 2%
Arts and Humanities 1 2%
Other 3 5%
Unknown 8 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 June 2015.
All research outputs
#13,395,439
of 22,729,647 outputs
Outputs from Journal of Mathematical Biology
#258
of 655 outputs
Outputs of similar age
#88,405
of 119,296 outputs
Outputs of similar age from Journal of Mathematical Biology
#2
of 3 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 655 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 59% 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 119,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.