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Predictive framework for estimating exposure of birds to pharmaceuticals

Overview of attention for article published in Environmental Toxicology & Chemistry, March 2017
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  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Title
Predictive framework for estimating exposure of birds to pharmaceuticals
Published in
Environmental Toxicology & Chemistry, March 2017
DOI 10.1002/etc.3771
Pubmed ID
Authors

Thomas G. Bean, Kathryn E. Arnold, Julie M. Lane, Ed Bergström, Jane Thomas‐Oates, Barnett A. Rattner, Alistair B.A. Boxall

Abstract

Here we present and evaluate a framework for estimating concentrations of pharmaceuticals over time in wildlife feeding at wastewater treatment plants (WWTPs). The framework is composed of a series of predictive steps involving the estimation of pharmaceutical concentration in wastewater, accumulation into wildlife food items, uptake by wildlife with subsequent distribution into, and elimination from, tissues. As many pharmacokinetic parameters for wildlife are unavailable for the majority of drugs in use, a read-across approach was employed using either rodent or human data on absorption, distribution, metabolism and excretion (ADME). Comparison of the different steps in the framework, against experimental data for the scenario where birds are feeding on a WWTP contaminated with fluoxetine, showed that: estimated concentrations in wastewater treatment works were lower than measured concentrations; concentrations in food could be reasonably estimated if experimental bioaccumulation data are available; and that read-across from rodent data worked better than human to bird read-across. The framework provides adequate predictions of plasma concentrations and of elimination behavior in birds, but yields poor predictions of distribution in tissues. We believe the approach holds promise, but it is important that we improve our understanding of the physiological similarities and differences between wild birds and domesticated laboratory mammals used in pharmaceutical efficacy/safety trials, so that the wealth of data available can be applied more effectively in ecological risk assessments. This article is protected by copyright. All rights reserved.

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X Demographics

The data shown below were collected from the profiles of 10 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Researcher 6 11%
Student > Bachelor 5 9%
Professor > Associate Professor 5 9%
Professor 3 6%
Other 6 11%
Unknown 19 35%
Readers by discipline Count As %
Environmental Science 14 26%
Agricultural and Biological Sciences 6 11%
Chemistry 4 7%
Engineering 2 4%
Chemical Engineering 1 2%
Other 4 7%
Unknown 23 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 April 2017.
All research outputs
#6,375,394
of 25,382,440 outputs
Outputs from Environmental Toxicology & Chemistry
#1,249
of 5,612 outputs
Outputs of similar age
#94,618
of 323,209 outputs
Outputs of similar age from Environmental Toxicology & Chemistry
#11
of 81 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th 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 done well, scoring higher than 77% 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 323,209 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 70% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.