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Quantifying shedding of synthetic fibers from textiles; a source of microplastics released into the environment

Overview of attention for article published in Environmental Science and Pollution Research, October 2017
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
6 news outlets
blogs
2 blogs
policy
4 policy sources
twitter
20 X users
patent
3 patents
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
365 Dimensions

Readers on

mendeley
696 Mendeley
Title
Quantifying shedding of synthetic fibers from textiles; a source of microplastics released into the environment
Published in
Environmental Science and Pollution Research, October 2017
DOI 10.1007/s11356-017-0528-7
Pubmed ID
Authors

Bethanie M. Carney Almroth, Linn Åström, Sofia Roslund, Hanna Petersson, Mats Johansson, Nils-Krister Persson

Abstract

Microplastics in the environment are a subject of intense research as they pose a potential threat to marine organisms. Plastic fibers from textiles have been indicated as a major source of this type of contaminant, entering the oceans via wastewater and diverse non-point sources. Their presence is also documented in terrestrial samples. In this study, the amount of microfibers shedding from synthetic textiles was measured for three materials (acrylic, nylon, polyester), knit using different gauges and techniques. All textiles were found to shed, but polyester fleece fabrics shed the greatest amounts, averaging 7360 fibers/m(-2)/L(-1) in one wash, compared with polyester fabrics which shed 87 fibers/m(-2)/L(-1). We found that loose textile constructions shed more, as did worn fabrics, and high twist yarns are to be preferred for shed reduction. Since fiber from clothing is a potentially important source of microplastics, we suggest that smarter textile construction, prewashing and vacuum exhaustion at production sites, and use of more efficient filters in household washing machines could help mitigate this problem.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 696 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 696 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 99 14%
Student > Master 90 13%
Student > Bachelor 76 11%
Researcher 58 8%
Student > Doctoral Student 28 4%
Other 93 13%
Unknown 252 36%
Readers by discipline Count As %
Environmental Science 125 18%
Engineering 63 9%
Agricultural and Biological Sciences 39 6%
Chemistry 31 4%
Biochemistry, Genetics and Molecular Biology 21 3%
Other 122 18%
Unknown 295 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 92. 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 March 2024.
All research outputs
#467,824
of 26,017,215 outputs
Outputs from Environmental Science and Pollution Research
#60
of 11,212 outputs
Outputs of similar age
#9,865
of 343,563 outputs
Outputs of similar age from Environmental Science and Pollution Research
#4
of 311 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,212 research outputs from this source. They receive a mean Attention Score of 4.1. 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 343,563 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 96% of its contemporaries.
We're also able to compare this research output to 311 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 98% of its contemporaries.