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Explainable Artificial Intelligence for Mechanics: Physics-Explaining Neural Networks for Constitutive Models

Overview of attention for article published in Frontiers in Materials, February 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
7 X users

Citations

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18 Dimensions

Readers on

mendeley
66 Mendeley
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Title
Explainable Artificial Intelligence for Mechanics: Physics-Explaining Neural Networks for Constitutive Models
Published in
Frontiers in Materials, February 2022
DOI 10.3389/fmats.2021.824958
Authors

Arnd Koeppe, Franz Bamer, Michael Selzer, Britta Nestler, Bernd Markert

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Student > Bachelor 7 11%
Researcher 6 9%
Professor > Associate Professor 5 8%
Student > Master 5 8%
Other 11 17%
Unknown 20 30%
Readers by discipline Count As %
Engineering 26 39%
Computer Science 3 5%
Business, Management and Accounting 3 5%
Mathematics 3 5%
Materials Science 3 5%
Other 9 14%
Unknown 19 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 February 2022.
All research outputs
#8,422,595
of 25,155,561 outputs
Outputs from Frontiers in Materials
#159
of 2,998 outputs
Outputs of similar age
#181,486
of 516,113 outputs
Outputs of similar age from Frontiers in Materials
#17
of 246 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,998 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 94% 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 516,113 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 246 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 93% of its contemporaries.