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OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization

Overview of attention for article published in Nature Methods, May 2024
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
400 X users
facebook
1 Facebook page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
132 Mendeley
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Title
OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization
Published in
Nature Methods, May 2024
DOI 10.1038/s41592-024-02272-z
Pubmed ID
Authors

Gustaf Ahdritz, Nazim Bouatta, Christina Floristean, Sachin Kadyan, Qinghui Xia, William Gerecke, Timothy J. O’Donnell, Daniel Berenberg, Ian Fisk, Niccolò Zanichelli, Bo Zhang, Arkadiusz Nowaczynski, Bei Wang, Marta M. Stepniewska-Dziubinska, Shang Zhang, Adegoke Ojewole, Murat Efe Guney, Stella Biderman, Andrew M. Watkins, Stephen Ra, Pablo Ribalta Lorenzo, Lucas Nivon, Brian Weitzner, Yih-En Andrew Ban, Shiyang Chen, Minjia Zhang, Conglong Li, Shuaiwen Leon Song, Yuxiong He, Peter K. Sorger, Emad Mostaque, Zhao Zhang, Richard Bonneau, Mohammed AlQuraishi

X Demographics

X Demographics

The data shown below were collected from the profiles of 400 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 21%
Student > Ph. D. Student 22 17%
Student > Bachelor 11 8%
Student > Master 9 7%
Student > Postgraduate 4 3%
Other 12 9%
Unknown 46 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 23%
Chemistry 11 8%
Computer Science 8 6%
Agricultural and Biological Sciences 5 4%
Physics and Astronomy 5 4%
Other 15 11%
Unknown 57 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 244. 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 30 May 2024.
All research outputs
#158,274
of 26,020,829 outputs
Outputs from Nature Methods
#101
of 5,447 outputs
Outputs of similar age
#1,290
of 208,522 outputs
Outputs of similar age from Nature Methods
#2
of 57 outputs
Altmetric has tracked 26,020,829 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 5,447 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.8. This one has done particularly well, scoring higher than 98% 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 208,522 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 99% of its contemporaries.
We're also able to compare this research output to 57 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 96% of its contemporaries.