↓ Skip to main content

Parasites in food webs: the ultimate missing links

Overview of attention for article published in Ecology Letters, May 2008
Altmetric Badge

About this Attention Score

  • 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 (92nd percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
policy
2 policy sources
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
750 Dimensions

Readers on

mendeley
1320 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Parasites in food webs: the ultimate missing links
Published in
Ecology Letters, May 2008
DOI 10.1111/j.1461-0248.2008.01174.x
Pubmed ID
Authors

Kevin D Lafferty, Stefano Allesina, Matias Arim, Cherie J Briggs, Giulio De Leo, Andrew P Dobson, Jennifer A Dunne, Pieter T J Johnson, Armand M Kuris, David J Marcogliese, Neo D Martinez, Jane Memmott, Pablo A Marquet, John P McLaughlin, Erin A Mordecai, Mercedes Pascual, Robert Poulin, David W Thieltges

Abstract

Parasitism is the most common consumer strategy among organisms, yet only recently has there been a call for the inclusion of infectious disease agents in food webs. The value of this effort hinges on whether parasites affect food-web properties. Increasing evidence suggests that parasites have the potential to uniquely alter food-web topology in terms of chain length, connectance and robustness. In addition, parasites might affect food-web stability, interaction strength and energy flow. Food-web structure also affects infectious disease dynamics because parasites depend on the ecological networks in which they live. Empirically, incorporating parasites into food webs is straightforward. We may start with existing food webs and add parasites as nodes, or we may try to build food webs around systems for which we already have a good understanding of infectious processes. In the future, perhaps researchers will add parasites while they construct food webs. Less clear is how food-web theory can accommodate parasites. This is a deep and central problem in theoretical biology and applied mathematics. For instance, is representing parasites with complex life cycles as a single node equivalent to representing other species with ontogenetic niche shifts as a single node? Can parasitism fit into fundamental frameworks such as the niche model? Can we integrate infectious disease models into the emerging field of dynamic food-web modelling? Future progress will benefit from interdisciplinary collaborations between ecologists and infectious disease biologists.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,320 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 31 2%
Brazil 19 1%
Spain 5 <1%
Canada 5 <1%
United Kingdom 5 <1%
Germany 5 <1%
Chile 4 <1%
Mexico 4 <1%
Argentina 4 <1%
Other 42 3%
Unknown 1196 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 330 25%
Researcher 250 19%
Student > Master 204 15%
Student > Bachelor 135 10%
Student > Doctoral Student 61 5%
Other 210 16%
Unknown 130 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 767 58%
Environmental Science 217 16%
Biochemistry, Genetics and Molecular Biology 39 3%
Earth and Planetary Sciences 13 <1%
Physics and Astronomy 12 <1%
Other 90 7%
Unknown 182 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 09 April 2024.
All research outputs
#1,477,948
of 25,998,826 outputs
Outputs from Ecology Letters
#856
of 3,259 outputs
Outputs of similar age
#3,236
of 91,189 outputs
Outputs of similar age from Ecology Letters
#1
of 14 outputs
Altmetric has tracked 25,998,826 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 3,259 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.2. This one has gotten more attention than average, scoring higher than 73% 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 91,189 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 14 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 92% of its contemporaries.