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Contaminants of emerging concern in tributaries to the Laurentian Great Lakes: I. Patterns of occurrence

Overview of attention for article published in PLOS ONE, September 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 policy source
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29 X users
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1 Facebook page

Citations

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110 Mendeley
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Title
Contaminants of emerging concern in tributaries to the Laurentian Great Lakes: I. Patterns of occurrence
Published in
PLOS ONE, September 2017
DOI 10.1371/journal.pone.0182868
Pubmed ID
Authors

Sarah M. Elliott, Mark E. Brigham, Kathy E. Lee, Jo A. Banda, Steven J. Choy, Daniel J. Gefell, Thomas A. Minarik, Jeremy N. Moore, Zachary G. Jorgenson

Abstract

Human activities introduce a variety of chemicals to the Laurentian Great Lakes including pesticides, pharmaceuticals, flame retardants, plasticizers, and solvents (collectively referred to as contaminants of emerging concern or CECs) potentially threatening the vitality of these valuable ecosystems. We conducted a basin-wide study to identify the presence of CECs and other chemicals of interest in 12 U.S. tributaries to the Laurentian Great Lakes during 2013 and 2014. A total of 292 surface-water and 80 sediment samples were collected and analyzed for approximately 200 chemicals. A total of 32 and 28 chemicals were detected in at least 30% of water and sediment samples, respectively. Concentrations ranged from 0.0284 (indole) to 72.2 (cholesterol) μg/L in water and 1.75 (diphenhydramine) to 20,800 μg/kg (fluoranthene) in sediment. Cluster analyses revealed chemicals that frequently co-occurred such as pharmaceuticals and flame retardants at sites receiving similar inputs such as wastewater treatment plant effluent. Comparison of environmental concentrations to water and sediment-quality benchmarks revealed that polycyclic aromatic hydrocarbon concentrations often exceeded benchmarks in both water and sediment. Additionally, bis(2-ethylhexyl) phthalate and dichlorvos concentrations exceeded water-quality benchmarks in several rivers. Results from this study can be used to understand organism exposure, prioritize river basins for future management efforts, and guide detailed assessments of factors influencing transport and fate of CECs in the Great Lakes Basin.

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X Demographics

The data shown below were collected from the profiles of 29 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 14%
Student > Ph. D. Student 12 11%
Student > Master 10 9%
Student > Doctoral Student 7 6%
Researcher 7 6%
Other 19 17%
Unknown 40 36%
Readers by discipline Count As %
Environmental Science 24 22%
Agricultural and Biological Sciences 12 11%
Engineering 7 6%
Chemistry 4 4%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 13 12%
Unknown 46 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 December 2020.
All research outputs
#1,490,615
of 23,773,824 outputs
Outputs from PLOS ONE
#19,092
of 202,885 outputs
Outputs of similar age
#31,110
of 321,997 outputs
Outputs of similar age from PLOS ONE
#418
of 3,754 outputs
Altmetric has tracked 23,773,824 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 202,885 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has done particularly well, scoring higher than 90% 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 321,997 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 90% of its contemporaries.
We're also able to compare this research output to 3,754 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.