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Leveraging genetic algorithms to maximise the predictive capabilities of the SOAP descriptor

Overview of attention for article published in Molecular Systems Design & Engineering, January 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Leveraging genetic algorithms to maximise the predictive capabilities of the SOAP descriptor
Published in
Molecular Systems Design & Engineering, January 2023
DOI 10.1039/d2me00149g
Authors

Trent Barnard, Steven Tseng, James P. Darby, Albert P. Bartók, Anders Broo, Gabriele C. Sosso

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Ph. D. Student 3 19%
Unspecified 2 13%
Professor 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 5 31%
Readers by discipline Count As %
Physics and Astronomy 4 25%
Unspecified 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Business, Management and Accounting 1 6%
Social Sciences 1 6%
Other 2 13%
Unknown 5 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 14 March 2023.
All research outputs
#5,477,839
of 25,481,734 outputs
Outputs from Molecular Systems Design & Engineering
#73
of 586 outputs
Outputs of similar age
#112,420
of 476,576 outputs
Outputs of similar age from Molecular Systems Design & Engineering
#6
of 88 outputs
Altmetric has tracked 25,481,734 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 586 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 87% 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 476,576 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 76% of its contemporaries.
We're also able to compare this research output to 88 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 94% of its contemporaries.