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Twitter Demographics
Mendeley readers
Attention Score in Context
Title |
SARS-CoV-2 immune evasion by the B.1.427/B.1.429 variant of concern
|
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Published in |
Science, August 2021
|
DOI | 10.1126/science.abi7994 |
Pubmed ID | |
Authors |
Matthew McCallum, Jessica Bassi, Anna De Marco, Alex Chen, Alexandra C. Walls, Julia Di Iulio, M. Alejandra Tortorici, Mary-Jane Navarro, Chiara Silacci-Fregni, Christian Saliba, Kaitlin R. Sprouse, Maria Agostini, Dora Pinto, Katja Culap, Siro Bianchi, Stefano Jaconi, Elisabetta Cameroni, John E. Bowen, Sasha W. Tilles, Matteo Samuele Pizzuto, Sonja Bernasconi Guastalla, Giovanni Bona, Alessandra Franzetti Pellanda, Christian Garzoni, Wesley C. Van Voorhis, Laura E. Rosen, Gyorgy Snell, Amalio Telenti, Herbert W. Virgin, Luca Piccoli, Davide Corti, David Veesler |
Twitter Demographics
The data shown below were collected from the profiles of 15,079 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 812 | 5% |
Chile | 733 | 5% |
France | 730 | 5% |
Thailand | 480 | 3% |
Mexico | 354 | 2% |
Spain | 334 | 2% |
Germany | 273 | 2% |
Argentina | 232 | 2% |
United Kingdom | 219 | 1% |
Other | 2060 | 14% |
Unknown | 8852 | 59% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14028 | 93% |
Scientists | 719 | 5% |
Practitioners (doctors, other healthcare professionals) | 197 | 1% |
Science communicators (journalists, bloggers, editors) | 132 | <1% |
Unknown | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 261 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 44 | 17% |
Student > Ph. D. Student | 32 | 12% |
Student > Bachelor | 20 | 8% |
Student > Master | 14 | 5% |
Professor | 13 | 5% |
Other | 48 | 18% |
Unknown | 90 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 57 | 22% |
Medicine and Dentistry | 26 | 10% |
Immunology and Microbiology | 19 | 7% |
Engineering | 14 | 5% |
Chemistry | 10 | 4% |
Other | 37 | 14% |
Unknown | 98 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8760. 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 04 July 2023.
All research outputs
#259
of 24,527,525 outputs
Outputs from Science
#15
of 79,868 outputs
Outputs of similar age
#20
of 422,785 outputs
Outputs of similar age from Science
#4
of 736 outputs
Altmetric has tracked 24,527,525 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 79,868 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.5. 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 422,785 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 736 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 99% of its contemporaries.