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Larval aquatic insect responses to cadmium and zinc in experimental streams

Overview of attention for article published in Environmental Toxicology & Chemistry, October 2016
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
Larval aquatic insect responses to cadmium and zinc in experimental streams
Published in
Environmental Toxicology & Chemistry, October 2016
DOI 10.1002/etc.3599
Pubmed ID
Authors

Christopher A. Mebane, Travis S. Schmidt, Laurie S. Balistrieri

Abstract

To evaluate risks of metal mixture effects to natural stream communities under ecologically relevant conditions, the authors conducted 30-day tests with benthic macroinvertebrates exposed to cadmium (Cd) and zinc (Zn) in experimental streams. The simultaneous exposures were with Cd and Zn singly and with Cd + Zn mixtures at environmentally relevant ratios. The tests produced concentration-response patterns that for individual taxa were interpreted in the same manner as classic single-species toxicity tests, and for community metrics such as taxa richness and mayfly (Ephemeroptera) abundance were interpreted in the same manner as with stream survey data. Effects concentrations from the experimental stream exposures were usually 2 to 3 orders of magnitude lower than those from classic single species tests. Relative to a response addition model, which assumes that the joint toxicity of the mixtures can be predicted from the product of their responses to individual toxicants, the Cd + Zn mixtures generally showed slightly less than additive toxicity. The authors applied a modeling approach called Tox to explore the mixture toxicity results and to relate the experimental stream results to field data. The approach predicts the accumulation of toxicants (H, Cd, and Zn) on organisms using a 2-pKa bidentate model that defines interactions between dissolved cations and biological receptors (biotic ligands) and relates that accumulation through a logistic equation to biological response. The Tox modeling was able to predict Cd + Zn mixture responses from the single-metals exposures, as well as predicting responses from field data. The similarity of response patterns between the 30-day experimental stream tests and field data supports the environmental relevance of testing aquatic insects in experimental streams. This article is protected by copyright. All rights reserved.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 29%
Researcher 11 21%
Other 6 12%
Student > Master 4 8%
Professor 4 8%
Other 4 8%
Unknown 8 15%
Readers by discipline Count As %
Environmental Science 21 40%
Agricultural and Biological Sciences 7 13%
Social Sciences 2 4%
Arts and Humanities 1 2%
Psychology 1 2%
Other 3 6%
Unknown 17 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 November 2016.
All research outputs
#7,959,659
of 25,373,627 outputs
Outputs from Environmental Toxicology & Chemistry
#1,487
of 5,612 outputs
Outputs of similar age
#111,151
of 325,696 outputs
Outputs of similar age from Environmental Toxicology & Chemistry
#20
of 72 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 5,612 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. 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 325,696 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.