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Plastic Debris in 29 Great Lakes Tributaries: Relations to Watershed Attributes and Hydrology

Overview of attention for article published in Environmental Science & Technology, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
16 news outlets
blogs
1 blog
twitter
60 tweeters
facebook
3 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
238 Mendeley
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Title
Plastic Debris in 29 Great Lakes Tributaries: Relations to Watershed Attributes and Hydrology
Published in
Environmental Science & Technology, September 2016
DOI 10.1021/acs.est.6b02917
Pubmed ID
Authors

Austin K. Baldwin, Steven R. Corsi, Sherri A. Mason

Abstract

Plastic debris is a growing contaminant of concern in freshwater environments, yet sources, transport, and fate remain unclear. This study characterized the quantity and morphology of floating micro- and macroplastics in 29 Great Lakes tributaries in six states under different land covers, wastewater effluent contributions, population densities, and hydrologic conditions. Tributaries were sampled three or four times each using a 333 μm mesh neuston net. Plastic particles were sorted by size, counted, and categorized as fibers/lines, pellets/beads, foams, films, and fragments. Plastics were found in all 107 samples, with a maximum concentration of 32 particles/m(3) and a median of 1.9 particles/m(3). Ninety-eight percent of sampled plastic particles were less than 4.75 mm in diameter and therefore considered microplastics. Fragments, films, foams, and pellets/beads were positively correlated with urban-related watershed attributes and were found at greater concentrations during runoff-event conditions. Fibers, the most frequently detected particle type, were not associated with urban-related watershed attributes, wastewater effluent contribution, or hydrologic condition. Results from this study add to the body of information currently available on microplastics in different environmental compartments, including unique contributions to quantify their occurrence and variability in rivers with a wide variety of different land-use characteristics while highlighting differences between surface samples from rivers compared with lakes.

Twitter Demographics

The data shown below were collected from the profiles of 60 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 238 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
United States 1 <1%
Unknown 236 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 23%
Student > Master 52 22%
Student > Bachelor 36 15%
Researcher 31 13%
Unspecified 30 13%
Other 34 14%
Readers by discipline Count As %
Environmental Science 91 38%
Unspecified 49 21%
Agricultural and Biological Sciences 35 15%
Chemistry 19 8%
Engineering 15 6%
Other 29 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 182. 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 22 September 2018.
All research outputs
#72,039
of 13,256,039 outputs
Outputs from Environmental Science & Technology
#110
of 13,231 outputs
Outputs of similar age
#3,092
of 263,187 outputs
Outputs of similar age from Environmental Science & Technology
#7
of 265 outputs
Altmetric has tracked 13,256,039 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,231 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 99% 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 263,187 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 98% of its contemporaries.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.