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Accuracy and data efficiency in deep learning models of protein expression

Overview of attention for article published in Nature Communications, December 2022
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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 (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

blogs
1 blog
twitter
71 X users

Readers on

mendeley
115 Mendeley
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Article details
Title
Accuracy and data efficiency in deep learning models of protein expression
Published in
Nature Communications, December 2022
DOI 10.1038/s41467-022-34902-5
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 71 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 13%
Researcher 13 11%
Student > Master 9 8%
Student > Bachelor 6 5%
Student > Doctoral Student 4 3%
Other 11 10%
Unknown 57 50%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 17%
Engineering 8 7%
Agricultural and Biological Sciences 7 6%
Chemical Engineering 3 3%
Medicine and Dentistry 3 3%
Other 13 11%
Unknown 61 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 26 May 2023.
All research outputs
#1,203,034
of 34,642,327 outputs
Outputs from Nature Communications
#19,862
of 83,719 outputs
Outputs of similar age
#22,058
of 538,330 outputs
Outputs of similar age from Nature Communications
#464
of 1,838 outputs
Altmetric has tracked 34,642,327 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,719 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 49.1. This one has done well, scoring higher than 76% 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 538,330 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 95% of its contemporaries.
We're also able to compare this research output to 1,838 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 74% of its contemporaries.