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Antibody resistance of SARS-CoV-2 variants B.1.351 and B.1.1.7

Overview of attention for article published in Nature, March 2021
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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 (95th percentile)

Mentioned by

news
101 news outlets
blogs
5 blogs
policy
3 policy sources
twitter
1370 X users
patent
36 patents
facebook
3 Facebook pages
wikipedia
6 Wikipedia pages
reddit
4 Redditors

Readers on

mendeley
1283 Mendeley
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Title
Antibody resistance of SARS-CoV-2 variants B.1.351 and B.1.1.7
Published in
Nature, March 2021
DOI 10.1038/s41586-021-03398-2
Pubmed ID
Authors

Pengfei Wang, Manoj S. Nair, Lihong Liu, Sho Iketani, Yang Luo, Yicheng Guo, Maple Wang, Jian Yu, Baoshan Zhang, Peter D. Kwong, Barney S. Graham, John R. Mascola, Jennifer Y. Chang, Michael T. Yin, Magdalena Sobieszczyk, Christos A. Kyratsous, Lawrence Shapiro, Zizhang Sheng, Yaoxing Huang, David D. Ho

X Demographics

X Demographics

The data shown below were collected from the profiles of 1,370 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 1,283 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1283 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 180 14%
Student > Ph. D. Student 146 11%
Student > Bachelor 124 10%
Student > Master 122 10%
Other 45 4%
Other 182 14%
Unknown 484 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 233 18%
Medicine and Dentistry 147 11%
Immunology and Microbiology 113 9%
Agricultural and Biological Sciences 74 6%
Chemistry 30 2%
Other 163 13%
Unknown 523 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1310. 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 14 March 2024.
All research outputs
#10,338
of 25,893,933 outputs
Outputs from Nature
#1,053
of 99,024 outputs
Outputs of similar age
#481
of 456,910 outputs
Outputs of similar age from Nature
#36
of 896 outputs
Altmetric has tracked 25,893,933 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 99,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.9. 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 456,910 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 896 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 95% of its contemporaries.