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X Demographics
Mendeley readers
Attention Score in Context
Title |
Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study
|
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Published in |
Lancet Infectious Diseases, September 2021
|
DOI | 10.1016/s1473-3099(21)00460-6 |
Pubmed ID | |
Authors |
Michela Antonelli, Rose S Penfold, Jordi Merino, Carole H Sudre, Erika Molteni, Sarah Berry, Liane S Canas, Mark S Graham, Kerstin Klaser, Marc Modat, Benjamin Murray, Eric Kerfoot, Liyuan Chen, Jie Deng, Marc F Österdahl, Nathan J Cheetham, David A Drew, Long H Nguyen, Joan Capdevila Pujol, Christina Hu, Somesh Selvachandran, Lorenzo Polidori, Anna May, Jonathan Wolf, Andrew T Chan, Alexander Hammers, Emma L Duncan, Tim D Spector, Sebastien Ourselin, Claire J Steves |
X Demographics
The data shown below were collected from the profiles of 9,998 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 | 1068 | 11% |
Japan | 741 | 7% |
Canada | 341 | 3% |
Germany | 284 | 3% |
United Kingdom | 232 | 2% |
France | 207 | 2% |
Spain | 191 | 2% |
Australia | 150 | 2% |
Netherlands | 104 | 1% |
Other | 1047 | 10% |
Unknown | 5633 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8936 | 89% |
Scientists | 529 | 5% |
Practitioners (doctors, other healthcare professionals) | 359 | 4% |
Science communicators (journalists, bloggers, editors) | 162 | 2% |
Unknown | 12 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 948 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 948 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 89 | 9% |
Student > Master | 71 | 7% |
Student > Bachelor | 71 | 7% |
Student > Ph. D. Student | 62 | 7% |
Other | 60 | 6% |
Other | 152 | 16% |
Unknown | 443 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 196 | 21% |
Biochemistry, Genetics and Molecular Biology | 50 | 5% |
Nursing and Health Professions | 48 | 5% |
Social Sciences | 27 | 3% |
Immunology and Microbiology | 24 | 3% |
Other | 130 | 14% |
Unknown | 473 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9874. 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 09 March 2024.
All research outputs
#197
of 25,844,815 outputs
Outputs from Lancet Infectious Diseases
#4
of 6,136 outputs
Outputs of similar age
#18
of 436,332 outputs
Outputs of similar age from Lancet Infectious Diseases
#1
of 97 outputs
Altmetric has tracked 25,844,815 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 6,136 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 95.2. 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 436,332 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 97 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 98% of its contemporaries.