Title |
The Impact of Mutations in SARS-CoV-2 Spike on Viral Infectivity and Antigenicity
|
---|---|
Published in |
Cell, July 2020
|
DOI | 10.1016/j.cell.2020.07.012 |
Pubmed ID | |
Authors |
Qianqian Li, Jiajing Wu, Jianhui Nie, Li Zhang, Huan Hao, Shuo Liu, Chenyan Zhao, Qi Zhang, Huan Liu, Lingling Nie, Haiyang Qin, Meng Wang, Qiong Lu, Xiaoyu Li, Qiyu Sun, Junkai Liu, Linqi Zhang, Xuguang Li, Weijin Huang, Youchun Wang |
X Demographics
The data shown below were collected from the profiles of 918 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 129 | 14% |
Peru | 36 | 4% |
Japan | 33 | 4% |
United Kingdom | 29 | 3% |
Spain | 27 | 3% |
Chile | 18 | 2% |
Turkey | 16 | 2% |
Argentina | 13 | 1% |
Ecuador | 12 | 1% |
Other | 134 | 15% |
Unknown | 471 | 51% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 759 | 83% |
Scientists | 116 | 13% |
Practitioners (doctors, other healthcare professionals) | 34 | 4% |
Science communicators (journalists, bloggers, editors) | 8 | <1% |
Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,079 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1079 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 150 | 14% |
Researcher | 148 | 14% |
Student > Ph. D. Student | 127 | 12% |
Student > Master | 107 | 10% |
Student > Doctoral Student | 48 | 4% |
Other | 163 | 15% |
Unknown | 336 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 250 | 23% |
Medicine and Dentistry | 95 | 9% |
Agricultural and Biological Sciences | 86 | 8% |
Immunology and Microbiology | 79 | 7% |
Chemistry | 38 | 4% |
Other | 151 | 14% |
Unknown | 380 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1350. 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 24 December 2023.
All research outputs
#9,676
of 25,789,020 outputs
Outputs from Cell
#78
of 17,292 outputs
Outputs of similar age
#468
of 414,818 outputs
Outputs of similar age from Cell
#8
of 128 outputs
Altmetric has tracked 25,789,020 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 17,292 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.8. 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 414,818 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 128 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 93% of its contemporaries.