↓ Skip to main content

Score-based generative modeling for de novo protein design

Overview of attention for article published in Nature Computational Science, May 2023
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 602)
  • 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
16 news outlets
blogs
2 blogs
twitter
75 X users
reddit
2 Redditors

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
81 Mendeley
Title
Score-based generative modeling for de novo protein design
Published in
Nature Computational Science, May 2023
DOI 10.1038/s43588-023-00440-3
Pubmed ID
Authors

Jin Sub Lee, Jisun Kim, Philip M. Kim

X Demographics

X Demographics

The data shown below were collected from the profiles of 75 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 25%
Student > Ph. D. Student 12 15%
Other 4 5%
Student > Master 4 5%
Student > Bachelor 3 4%
Other 9 11%
Unknown 29 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 16%
Computer Science 13 16%
Immunology and Microbiology 4 5%
Agricultural and Biological Sciences 4 5%
Mathematics 3 4%
Other 14 17%
Unknown 30 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 160. 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 21 September 2023.
All research outputs
#258,686
of 25,651,057 outputs
Outputs from Nature Computational Science
#13
of 602 outputs
Outputs of similar age
#6,123
of 408,536 outputs
Outputs of similar age from Nature Computational Science
#1
of 44 outputs
Altmetric has tracked 25,651,057 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 602 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.0. 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 408,536 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 44 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.