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How to validate machine-learned interatomic potentials

Overview of attention for article published in Journal of Chemical Physics, March 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
86 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
117 Mendeley
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Title
How to validate machine-learned interatomic potentials
Published in
Journal of Chemical Physics, March 2023
DOI 10.1063/5.0139611
Pubmed ID
Authors

Joe D. Morrow, John L. A. Gardner, Volker L. Deringer

X Demographics

X Demographics

The data shown below were collected from the profiles of 86 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 28%
Researcher 21 18%
Professor 7 6%
Professor > Associate Professor 5 4%
Student > Bachelor 4 3%
Other 13 11%
Unknown 34 29%
Readers by discipline Count As %
Materials Science 23 20%
Chemistry 19 16%
Physics and Astronomy 13 11%
Chemical Engineering 5 4%
Engineering 5 4%
Other 10 9%
Unknown 42 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 13 March 2024.
All research outputs
#862,769
of 26,122,087 outputs
Outputs from Journal of Chemical Physics
#109
of 20,127 outputs
Outputs of similar age
#18,570
of 428,168 outputs
Outputs of similar age from Journal of Chemical Physics
#1
of 332 outputs
Altmetric has tracked 26,122,087 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,127 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 99% 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 428,168 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 332 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 99% of its contemporaries.