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More than a meal… integrating non‐feeding interactions into food webs

Overview of attention for article published in Ecology Letters, February 2012
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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 (90th percentile)

Mentioned by

blogs
2 blogs
twitter
17 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
325 Dimensions

Readers on

mendeley
694 Mendeley
citeulike
1 CiteULike
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Title
More than a meal… integrating non‐feeding interactions into food webs
Published in
Ecology Letters, February 2012
DOI 10.1111/j.1461-0248.2011.01732.x
Pubmed ID
Authors

Sonia Kéfi, Eric L Berlow, Evie A Wieters, Sergio A Navarrete, Owen L Petchey, Spencer A Wood, Alice Boit, Lucas N Joppa, Kevin D Lafferty, Richard J Williams, Neo D Martinez, Bruce A Menge, Carol A Blanchette, Alison C Iles, Ulrich Brose

Abstract

Ecology Letters (2012) ABSTRACT: Organisms eating each other are only one of many types of well documented and important interactions among species. Other such types include habitat modification, predator interference and facilitation. However, ecological network research has been typically limited to either pure food webs or to networks of only a few (<3) interaction types. The great diversity of non-trophic interactions observed in nature has been poorly addressed by ecologists and largely excluded from network theory. Herein, we propose a conceptual framework that organises this diversity into three main functional classes defined by how they modify specific parameters in a dynamic food web model. This approach provides a path forward for incorporating non-trophic interactions in traditional food web models and offers a new perspective on tackling ecological complexity that should stimulate both theoretical and empirical approaches to understanding the patterns and dynamics of diverse species interactions in nature.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 694 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 2%
France 12 2%
Brazil 9 1%
Switzerland 5 <1%
Spain 5 <1%
United Kingdom 5 <1%
Canada 4 <1%
Namibia 3 <1%
South Africa 3 <1%
Other 22 3%
Unknown 613 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 174 25%
Researcher 169 24%
Student > Master 79 11%
Student > Bachelor 55 8%
Professor > Associate Professor 37 5%
Other 119 17%
Unknown 61 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 361 52%
Environmental Science 174 25%
Earth and Planetary Sciences 17 2%
Biochemistry, Genetics and Molecular Biology 14 2%
Physics and Astronomy 10 1%
Other 28 4%
Unknown 90 13%
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 04 August 2022.
All research outputs
#1,495,766
of 25,837,817 outputs
Outputs from Ecology Letters
#845
of 3,186 outputs
Outputs of similar age
#9,977
of 256,351 outputs
Outputs of similar age from Ecology Letters
#4
of 41 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.4. This one has gotten more attention than average, scoring higher than 72% 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 256,351 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 41 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.