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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
1375 X users
patent
35 patents
facebook
3 Facebook pages
wikipedia
6 Wikipedia pages
reddit
4 Redditors

Citations

dimensions_citation
2090 Dimensions

Readers on

mendeley
1277 Mendeley
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 1,375 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 1,277 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1277 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 177 14%
Student > Ph. D. Student 144 11%
Student > Master 125 10%
Student > Bachelor 124 10%
Student > Doctoral Student 45 4%
Other 184 14%
Unknown 478 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 230 18%
Medicine and Dentistry 147 12%
Immunology and Microbiology 110 9%
Agricultural and Biological Sciences 78 6%
Chemistry 30 2%
Other 165 13%
Unknown 517 40%
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 06 March 2024.
All research outputs
#10,111
of 25,587,485 outputs
Outputs from Nature
#1,041
of 98,310 outputs
Outputs of similar age
#478
of 454,033 outputs
Outputs of similar age from Nature
#37
of 896 outputs
Altmetric has tracked 25,587,485 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 98,310 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. 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 454,033 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.