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Predicting accurate cathode properties of layered oxide materials using the SCAN meta-GGA density functional

Overview of attention for article published in npj Computational Materials, November 2018
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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 (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
6 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
105 Dimensions

Readers on

mendeley
142 Mendeley
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Title
Predicting accurate cathode properties of layered oxide materials using the SCAN meta-GGA density functional
Published in
npj Computational Materials, November 2018
DOI 10.1038/s41524-018-0117-4
Authors

Arup Chakraborty, Mudit Dixit, Doron Aurbach, Dan T. Major

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 23%
Student > Ph. D. Student 28 20%
Student > Master 12 8%
Student > Bachelor 8 6%
Student > Doctoral Student 7 5%
Other 12 8%
Unknown 42 30%
Readers by discipline Count As %
Materials Science 34 24%
Chemistry 20 14%
Physics and Astronomy 20 14%
Engineering 6 4%
Energy 4 3%
Other 10 7%
Unknown 48 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 November 2018.
All research outputs
#4,487,762
of 23,047,237 outputs
Outputs from npj Computational Materials
#226
of 878 outputs
Outputs of similar age
#90,978
of 352,165 outputs
Outputs of similar age from npj Computational Materials
#8
of 27 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 878 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 74% 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 352,165 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.