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Metabolic theory and taxonomic identity predict nutrient recycling in a diverse food web

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, April 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
10 news outlets
blogs
3 blogs
twitter
16 tweeters

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
169 Mendeley
Title
Metabolic theory and taxonomic identity predict nutrient recycling in a diverse food web
Published in
Proceedings of the National Academy of Sciences of the United States of America, April 2015
DOI 10.1073/pnas.1420819112
Pubmed ID
Authors

Jacob Edward Allgeier, Seth J. Wenger, Amy D. Rosemond, Daniel E. Schindler, Craig A. Layman

Abstract

Reconciling the degree to which ecological processes are generalizable among taxa and ecosystems, or contingent on the identity of interacting species, remains a critical challenge in ecology. Ecological stoichiometry (EST) and metabolic theory of ecology (MTE) are theoretical approaches used to evaluate how consumers mediate nutrient dynamics and energy flow through ecosystems. Recent theoretical work has explored the utility of these theories, but empirical tests in species-rich ecological communities remain scarce. Here we use an unprecedented dataset collected from fishes and dominant invertebrates (n = 900) in a diverse subtropical coastal marine community (50 families, 72 genera, 102 species; body mass range: 0.04-2,597 g) to test the utility of EST and MTE in predicting excretion rates of nitrogen (EN), phosphorus (EP), and their ratio (ENP). Body mass explained a large amount of the variation in EN and EP but not ENP. Strong evidence in support of the MTE 3/4 allometric scaling coefficient was found for EP, and for EN only after accounting for variation in excretion rates among taxa. In all cases, including taxonomy in models substantially improved model performance, highlighting the importance of species identity for this ecosystem function. Body nutrient content and trophic position explained little of the variation in EN, EP, or ENP, indicating limited applicability of basic predictors of EST. These results highlight the overriding importance of MTE for predicting nutrient flow through organisms, but emphasize that these relationships still fall short of explaining the unique effects certain species can have on ecological processes.

Twitter Demographics

The data shown below were collected from the profiles of 16 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 5%
Portugal 2 1%
Japan 2 1%
Spain 2 1%
Canada 1 <1%
Germany 1 <1%
Brazil 1 <1%
Norway 1 <1%
Finland 1 <1%
Other 0 0%
Unknown 150 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 29%
Student > Ph. D. Student 38 22%
Student > Master 26 15%
Student > Bachelor 14 8%
Student > Doctoral Student 11 7%
Other 18 11%
Unknown 13 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 88 52%
Environmental Science 46 27%
Earth and Planetary Sciences 4 2%
Computer Science 2 1%
Biochemistry, Genetics and Molecular Biology 2 1%
Other 5 3%
Unknown 22 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 99. 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 08 October 2020.
All research outputs
#232,106
of 16,562,219 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#4,948
of 87,562 outputs
Outputs of similar age
#3,247
of 185,949 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#115
of 956 outputs
Altmetric has tracked 16,562,219 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 87,562 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one has done particularly well, scoring higher than 94% 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 185,949 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 98% of its contemporaries.
We're also able to compare this research output to 956 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.