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From Latent Dynamics to Meaningful Representations

Overview of attention for article published in Journal of Chemical Theory and Computation, April 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
10 X users

Readers on

mendeley
7 Mendeley
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Title
From Latent Dynamics to Meaningful Representations
Published in
Journal of Chemical Theory and Computation, April 2024
DOI 10.1021/acs.jctc.4c00249
Pubmed ID
Authors

Dedi Wang, Yihang Wang, Luke Evans, Pratyush Tiwary

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 14%
Researcher 1 14%
Professor > Associate Professor 1 14%
Student > Postgraduate 1 14%
Student > Doctoral Student 1 14%
Other 1 14%
Unknown 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Chemistry 2 29%
Physics and Astronomy 1 14%
Mathematics 1 14%
Unknown 1 14%
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 11 May 2024.
All research outputs
#7,496,588
of 25,916,093 outputs
Outputs from Journal of Chemical Theory and Computation
#2,295
of 7,487 outputs
Outputs of similar age
#64,295
of 231,262 outputs
Outputs of similar age from Journal of Chemical Theory and Computation
#20
of 61 outputs
Altmetric has tracked 25,916,093 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,487 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 68% 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 231,262 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 72% of its contemporaries.
We're also able to compare this research output to 61 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 67% of its contemporaries.