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Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste

Overview of attention for article published in Computers & Chemical Engineering, December 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
1 X user
patent
3 patents

Readers on

mendeley
88 Mendeley
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Article details
Title
Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste
Published in
Computers & Chemical Engineering, December 2021
DOI 10.1016/j.compchemeng.2021.107547
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 11 13%
Student > Master 8 9%
Student > Bachelor 7 8%
Researcher 6 7%
Unspecified 3 3%
Other 8 9%
Unknown 45 51%
Readers by discipline
Readers by discipline Count As %
Chemical Engineering 7 8%
Engineering 5 6%
Earth and Planetary Sciences 3 3%
Chemistry 3 3%
Unspecified 3 3%
Other 12 14%
Unknown 55 63%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 April 2024.
All research outputs
#6,589,659
of 33,982,974 outputs
Outputs from Computers & Chemical Engineering
#120
of 1,530 outputs
Outputs of similar age
#116,222
of 566,295 outputs
Outputs of similar age from Computers & Chemical Engineering
#2
of 36 outputs
Altmetric has tracked 33,982,974 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,530 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 91% 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 566,295 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 36 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 94% of its contemporaries.