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Tissue residue approach for chemical mixtures

Overview of attention for article published in Integrated Environmental Assessment & Management, December 2010
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1 policy source

Citations

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30 Dimensions

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42 Mendeley
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Title
Tissue residue approach for chemical mixtures
Published in
Integrated Environmental Assessment & Management, December 2010
DOI 10.1002/ieam.106
Pubmed ID
Authors

Scott Dyer, Michael St J Warne, Joseph S Meyer, Heather A Leslie, Beate I Escher

Abstract

At the SETAC Pellston Workshop "The Tissue Residues Approach for Toxicity Assessment," held in June 2007, we discussed mixture toxicology in terms of the tissue residue approach (TRA). This article reviews the literature related to the TRA for mixtures of chemicals and recommends a practical, tiered approach that can be implemented in regulatory or risk assessment applications. As with the toxicity of individual chemicals, addressing mixture toxicity by means of the TRA has a number of significant advantages. Early work provided a theoretical basis and experimental data to support the use of TRA for mixtures; later work provided a field-based validation of the integration. However, subsequent development has been hindered by the lack of mixture toxicity data expressed in tissue or preferably target-site concentrations. We recommend a framework for addressing the toxicology of mixtures that integrates the TRA and mixture toxicology in a 3-tier approach. Tier I uses concentration addition (CA) to estimate the toxicity of mixtures regardless of the mechanism of action of the components. However, the common approach that uses a bioaccumulation factor (BAF) to predict TR from the exposure-water concentration for organics must be modified slightly for metals because, unlike organics, the BAF for a metal changes as 1) the aqueous exposure concentration changes, and 2) the concentration of other metals changes. In addition, total tissue residues of a metal are not a good predictor of toxicity, because some organisms store high concentrations of metals internally in detoxified forms. In tier I, if the combination of measured concentrations in the mixture exceeds that predicted to produce adverse effects or above-reference levels, it is necessary to proceed to tier II. Tier II is a mixed model that employs CA and independent action to estimate mixture toxicity. Tiers I and II estimate the toxicity of mixtures to individual species. In tier III, the TRA is integrated with the multisubstance potentially affected fraction (ms-PAF) method to derive TR levels that are protective of a selected percentage of species in aquatic communities (e.g., hazardous concentration for 5% of the species [HC5]).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 5%
Germany 1 2%
Chile 1 2%
Unknown 38 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 33%
Other 8 19%
Student > Ph. D. Student 5 12%
Student > Doctoral Student 4 10%
Professor 2 5%
Other 4 10%
Unknown 5 12%
Readers by discipline Count As %
Environmental Science 20 48%
Agricultural and Biological Sciences 6 14%
Medicine and Dentistry 4 10%
Chemistry 3 7%
Economics, Econometrics and Finance 1 2%
Other 1 2%
Unknown 7 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 31 January 2012.
All research outputs
#8,629,662
of 25,611,630 outputs
Outputs from Integrated Environmental Assessment & Management
#271
of 977 outputs
Outputs of similar age
#58,597
of 193,232 outputs
Outputs of similar age from Integrated Environmental Assessment & Management
#7
of 9 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 977 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. 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 193,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.