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Deep neural networks in chemical engineering classrooms to accurately model adsorption equilibrium data

Overview of attention for article published in Education for Chemical Engineers, July 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 157)
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
9 X users
facebook
1 Facebook page

Readers on

mendeley
171 Mendeley
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Article details
Title
Deep neural networks in chemical engineering classrooms to accurately model adsorption equilibrium data
Published in
Education for Chemical Engineers, July 2021
DOI 10.1016/j.ece.2021.04.003
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 profiles of 9 X users 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 171 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 171 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 14 8%
Student > Master 12 7%
Student > Bachelor 11 6%
Student > Doctoral Student 8 5%
Other 7 4%
Other 31 18%
Unknown 88 51%
Readers by discipline
Readers by discipline Count As %
Chemical Engineering 24 14%
Engineering 22 13%
Computer Science 6 4%
Social Sciences 6 4%
Business, Management and Accounting 4 2%
Other 16 9%
Unknown 93 54%
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 24 June 2021.
All research outputs
#4,697,807
of 23,308,124 outputs
Outputs from Education for Chemical Engineers
#20
of 157 outputs
Outputs of similar age
#109,045
of 442,548 outputs
Outputs of similar age from Education for Chemical Engineers
#3
of 13 outputs
Altmetric has tracked 23,308,124 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 157 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 87% 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 442,548 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 75% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.