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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
9 X users

Readers on

mendeley
89 Mendeley
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Article details
Title
Accelerating the prediction of CO2 capture at low partial pressures in metal-organic frameworks using new machine learning descriptors
Published in
Communications Chemistry, October 2023
DOI 10.1038/s42004-023-01009-x
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 12%
Other 9 10%
Student > Ph. D. Student 8 9%
Student > Master 6 7%
Unspecified 5 6%
Other 8 9%
Unknown 42 47%
Readers by discipline
Readers by discipline Count As %
Chemical Engineering 14 16%
Chemistry 9 10%
Unspecified 5 6%
Materials Science 4 4%
Engineering 4 4%
Other 8 9%
Unknown 45 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 October 2023.
All research outputs
#8,384,846
of 29,297,919 outputs
Outputs from Communications Chemistry
#697
of 1,571 outputs
Outputs of similar age
#114,156
of 377,818 outputs
Outputs of similar age from Communications Chemistry
#27
of 83 outputs
Altmetric has tracked 29,297,919 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,571 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 55% 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 377,818 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 69% of its contemporaries.
We're also able to compare this research output to 83 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 66% of its contemporaries.