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Persistent homology-based descriptor for machine-learning potential of amorphous structures

Overview of attention for article published in Journal of Chemical Physics, August 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
5 news outlets
twitter
2 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Persistent homology-based descriptor for machine-learning potential of amorphous structures
Published in
Journal of Chemical Physics, August 2023
DOI 10.1063/5.0159349
Pubmed ID
Authors

Emi Minamitani, Ippei Obayashi, Koji Shimizu, Satoshi Watanabe

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Student > Doctoral Student 1 8%
Professor 1 8%
Researcher 1 8%
Unknown 7 58%
Readers by discipline Count As %
Materials Science 2 17%
Physics and Astronomy 1 8%
Chemical Engineering 1 8%
Unknown 8 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 25 August 2023.
All research outputs
#1,040,168
of 25,478,886 outputs
Outputs from Journal of Chemical Physics
#152
of 19,861 outputs
Outputs of similar age
#18,618
of 356,388 outputs
Outputs of similar age from Journal of Chemical Physics
#4
of 217 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,861 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 356,388 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 94% of its contemporaries.
We're also able to compare this research output to 217 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 98% of its contemporaries.