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Generative pretrained autoregressive transformer graph neural network applied to the analysis and discovery of novel proteins

Overview of attention for article published in Journal of Applied Physics, August 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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
8 news outlets
blogs
1 blog
twitter
5 X users
facebook
1 Facebook page

Readers on

mendeley
23 Mendeley
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Title
Generative pretrained autoregressive transformer graph neural network applied to the analysis and discovery of novel proteins
Published in
Journal of Applied Physics, August 2023
DOI 10.1063/5.0157367
Authors

Markus J. Buehler

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 13%
Unspecified 1 4%
Professor 1 4%
Lecturer 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 15 65%
Readers by discipline Count As %
Engineering 2 9%
Unspecified 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Agricultural and Biological Sciences 1 4%
Business, Management and Accounting 1 4%
Other 2 9%
Unknown 15 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 December 2023.
All research outputs
#628,626
of 25,163,238 outputs
Outputs from Journal of Applied Physics
#104
of 21,543 outputs
Outputs of similar age
#11,297
of 342,294 outputs
Outputs of similar age from Journal of Applied Physics
#2
of 48 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,543 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 99% 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 342,294 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 96% of its contemporaries.
We're also able to compare this research output to 48 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 97% of its contemporaries.