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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

Overview of attention for article published in Lancet Infectious Diseases, September 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 6,105)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Citations

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627 Dimensions

Readers on

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953 Mendeley
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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
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

X Demographics

The data shown below were collected from the profiles of 10,016 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 953 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 953 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 91 10%
Student > Bachelor 71 7%
Student > Master 70 7%
Other 62 7%
Student > Ph. D. Student 62 7%
Other 159 17%
Unknown 438 46%
Readers by discipline Count As %
Medicine and Dentistry 197 21%
Biochemistry, Genetics and Molecular Biology 50 5%
Nursing and Health Professions 49 5%
Social Sciences 27 3%
Immunology and Microbiology 23 2%
Other 139 15%
Unknown 468 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9886. 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
#195
of 25,782,917 outputs
Outputs from Lancet Infectious Diseases
#4
of 6,105 outputs
Outputs of similar age
#18
of 436,144 outputs
Outputs of similar age from Lancet Infectious Diseases
#1
of 97 outputs
Altmetric has tracked 25,782,917 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 6,105 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 95.3. 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 436,144 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.