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Score-based generative modeling for de novo protein design

Overview of attention for article published in Nature Computational Science, May 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 443)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
15 news outlets
blogs
2 blogs
twitter
80 tweeters
reddit
2 Redditors

Citations

dimensions_citation
1 Dimensions
Title
Score-based generative modeling for de novo protein design
Published in
Nature Computational Science, May 2023
DOI 10.1038/s43588-023-00440-3
Authors

Jin Sub Lee, Jisun Kim, Philip M. Kim

Twitter Demographics

The data shown below were collected from the profiles of 80 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 156. 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 22 May 2023.
All research outputs
#238,108
of 23,935,525 outputs
Outputs from Nature Computational Science
#12
of 443 outputs
Outputs of similar age
#4,410
of 331,506 outputs
Outputs of similar age from Nature Computational Science
#2
of 41 outputs
Altmetric has tracked 23,935,525 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. This one has done particularly well, scoring higher than 97% 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 331,506 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 98% of its contemporaries.
We're also able to compare this research output to 41 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.