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Pharmaceuticals in water, fish and osprey nestlings in Delaware River and Bay

Overview of attention for article published in Environmental Pollution, October 2017
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Title
Pharmaceuticals in water, fish and osprey nestlings in Delaware River and Bay
Published in
Environmental Pollution, October 2017
DOI 10.1016/j.envpol.2017.09.083
Pubmed ID
Authors

Thomas G Bean, Barnett A Rattner, Rebecca S Lazarus, Daniel D Day, S Rebekah Burket, Bryan W Brooks, Samuel P Haddad, William W Bowerman

Abstract

Exposure of wildlife to Active Pharmaceutical Ingredients (APIs) is likely to occur but studies of risk are limited. One exposure pathway that has received attention is trophic transfer of APIs in a water-fish-osprey food chain. Samples of water, fish plasma and osprey plasma were collected from Delaware River and Bay, and analyzed for 21 APIs. Only 2 of 21 analytes exceeded method detection limits in osprey plasma (acetaminophen and diclofenac) with plasma levels typically 2-3 orders of magnitude below human therapeutic concentrations (HTC). We built upon a screening level model used to predict osprey exposure to APIs in Chesapeake Bay and evaluated whether exposure levels could have been predicted in Delaware Bay had we just measured concentrations in water or fish. Use of surface water and BCFs did not predict API concentrations in fish well, likely due to fish movement patterns, and partitioning and bioaccumulation uncertainties associated with these ionizable chemicals. Input of highest measured API concentration in fish plasma combined with pharmacokinetic data accurately predicted that diclofenac and acetaminophen would be the APIs most likely detected in osprey plasma. For the majority of APIs modeled, levels were not predicted to exceed 1 ng/mL or method detection limits in osprey plasma. Based on the target analytes examined, there is little evidence that APIs represent a significant risk to ospreys nesting in Delaware Bay. If an API is present in fish orders of magnitude below HTC, sampling of fish-eating birds is unlikely to be necessary. However, several human pharmaceuticals accumulated in fish plasma within a recommended safety factor for HTC. It is now important to expand the scope of diet-based API exposure modeling to include alternative exposure pathways (e.g., uptake from landfills, dumps and wastewater treatment plants) and geographic locations (developing countries) where API contamination of the environment may represent greater risk.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 18%
Student > Master 22 14%
Researcher 15 10%
Student > Bachelor 14 9%
Student > Doctoral Student 10 7%
Other 22 14%
Unknown 43 28%
Readers by discipline Count As %
Environmental Science 36 24%
Agricultural and Biological Sciences 13 8%
Chemistry 11 7%
Engineering 9 6%
Biochemistry, Genetics and Molecular Biology 6 4%
Other 20 13%
Unknown 58 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 October 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Environmental Pollution
#8,503
of 13,435 outputs
Outputs of similar age
#243,416
of 333,675 outputs
Outputs of similar age from Environmental Pollution
#137
of 231 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,435 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 333,675 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 231 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.