↓ Skip to main content

Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes

Overview of attention for article published in Computers & Chemical Engineering, August 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 1,513)
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
5 X users
patent
2 patents

Readers on

mendeley
111 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes
Published in
Computers & Chemical Engineering, August 2020
DOI 10.1016/j.compchemeng.2020.106904
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 15 14%
Student > Ph. D. Student 14 13%
Student > Doctoral Student 8 7%
Student > Master 8 7%
Lecturer 3 3%
Other 11 10%
Unknown 52 47%
Readers by discipline
Readers by discipline Count As %
Engineering 25 23%
Computer Science 6 5%
Chemical Engineering 4 4%
Business, Management and Accounting 3 3%
Agricultural and Biological Sciences 2 2%
Other 12 11%
Unknown 59 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 November 2022.
All research outputs
#4,765,839
of 33,834,589 outputs
Outputs from Computers & Chemical Engineering
#50
of 1,513 outputs
Outputs of similar age
#91,607
of 454,063 outputs
Outputs of similar age from Computers & Chemical Engineering
#4
of 28 outputs
Altmetric has tracked 33,834,589 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,513 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 96% 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 454,063 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 79% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.