Report for: Score-based generative modeling for de novo protein design

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

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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.

Geographical breakdown

Country	Count	As %
United States	16	20%
Japan	7	9%
India	3	4%
Germany	2	3%
China	2	3%
France	2	3%
Spain	2	3%
United Kingdom	2	3%
Switzerland	2	3%
Other	5	6%
Unknown	37	46%

Demographic breakdown

Type	Count	As %
Members of the public	52	65%
Scientists	24	30%
Practitioners (doctors, other healthcare professionals)	3	4%
Science communicators (journalists, bloggers, editors)	1	1%

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

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.

Score-based generative modeling for de novo protein design

About this Attention Score

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Twitter Demographics

Geographical breakdown

Demographic breakdown

Attention Score in Context