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A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics

Overview of attention for article published in Frontiers in Materials, May 2019
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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 (#47 of 3,095)
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Readers on

mendeley
549 Mendeley
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Title
A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics
Published in
Frontiers in Materials, May 2019
DOI 10.3389/fmats.2019.00110
Authors

Frederic E. Bock, Roland C. Aydin, Christian J. Cyron, Norbert Huber, Surya R. Kalidindi, Benjamin Klusemann

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 549 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 549 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 94 17%
Researcher 61 11%
Student > Master 52 9%
Student > Doctoral Student 29 5%
Student > Bachelor 26 5%
Other 97 18%
Unknown 190 35%
Readers by discipline Count As %
Engineering 165 30%
Materials Science 61 11%
Computer Science 31 6%
Physics and Astronomy 15 3%
Chemistry 8 1%
Other 48 9%
Unknown 221 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 02 November 2021.
All research outputs
#3,337,589
of 25,728,855 outputs
Outputs from Frontiers in Materials
#47
of 3,095 outputs
Outputs of similar age
#67,442
of 366,188 outputs
Outputs of similar age from Frontiers in Materials
#5
of 46 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,095 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 98% 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 366,188 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 81% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.