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Identifying the ground state structures of point defects in solids

Overview of attention for article published in npj Computational Materials, February 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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
50 X users

Citations

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35 Dimensions

Readers on

mendeley
58 Mendeley
Title
Identifying the ground state structures of point defects in solids
Published in
npj Computational Materials, February 2023
DOI 10.1038/s41524-023-00973-1
Authors

Irea Mosquera-Lois, Seán R. Kavanagh, Aron Walsh, David O. Scanlon

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Student > Master 5 9%
Professor 5 9%
Unspecified 4 7%
Student > Postgraduate 4 7%
Other 14 24%
Unknown 13 22%
Readers by discipline Count As %
Materials Science 15 26%
Chemistry 8 14%
Physics and Astronomy 6 10%
Engineering 5 9%
Unspecified 4 7%
Other 5 9%
Unknown 15 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 27 April 2023.
All research outputs
#1,266,330
of 25,836,587 outputs
Outputs from npj Computational Materials
#80
of 1,114 outputs
Outputs of similar age
#26,843
of 430,353 outputs
Outputs of similar age from npj Computational Materials
#5
of 39 outputs
Altmetric has tracked 25,836,587 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 1,114 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 92% 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 430,353 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 93% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.