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Potent Neutralizing Antibodies against SARS-CoV-2 Identified by High-Throughput Single-Cell Sequencing of Convalescent Patients’ B Cells

Overview of attention for article published in Cell, July 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 15,320)
  • 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
137 news outlets
blogs
10 blogs
twitter
1186 tweeters
facebook
5 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
177 Dimensions

Readers on

mendeley
478 Mendeley
Title
Potent Neutralizing Antibodies against SARS-CoV-2 Identified by High-Throughput Single-Cell Sequencing of Convalescent Patients’ B Cells
Published in
Cell, July 2020
DOI 10.1016/j.cell.2020.05.025
Pubmed ID
Authors

Yunlong Cao, Bin Su, Xianghua Guo, Wenjie Sun, Yongqiang Deng, Linlin Bao, Qinyu Zhu, Xu Zhang, Yinghui Zheng, Chenyang Geng, Xiaoran Chai, Runsheng He, Xiaofeng Li, Qi Lv, Hua Zhu, Wei Deng, Yanfeng Xu, Yanjun Wang, Luxin Qiao, Yafang Tan, Liyang Song, Guopeng Wang, Xiaoxia Du, Ning Gao, Jiangning Liu, Junyu Xiao, Xiao-dong Su, Zongmin Du, Yingmei Feng, Chuan Qin, Chengfeng Qin, Ronghua Jin, X. Sunney Xie

Twitter Demographics

The data shown below were collected from the profiles of 1,186 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 478 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 478 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 101 21%
Student > Ph. D. Student 74 15%
Student > Bachelor 41 9%
Other 32 7%
Professor 29 6%
Other 108 23%
Unknown 93 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 92 19%
Medicine and Dentistry 64 13%
Agricultural and Biological Sciences 60 13%
Immunology and Microbiology 49 10%
Engineering 14 3%
Other 80 17%
Unknown 119 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 1766. 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 October 2020.
All research outputs
#2,232
of 16,093,309 outputs
Outputs from Cell
#17
of 15,320 outputs
Outputs of similar age
#290
of 289,428 outputs
Outputs of similar age from Cell
#4
of 130 outputs
Altmetric has tracked 16,093,309 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 15,320 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one has done particularly well, scoring higher than 99% 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 289,428 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 130 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.