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Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom

Overview of attention for article published in Journal of the Royal Society of Medicine, May 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
35 news outlets
blogs
2 blogs
twitter
97 X users
reddit
1 Redditor

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Socioeconomic inequalities of Long COVID: a retrospective population-based cohort study in the United Kingdom
Published in
Journal of the Royal Society of Medicine, May 2023
DOI 10.1177/01410768231168377
Pubmed ID
Authors

Sharmin Shabnam, Cameron Razieh, Hajira Dambha-Miller, Tom Yates, Clare Gillies, Yogini V Chudasama, Manish Pareek, Amitava Banerjee, Ichiro Kawachi, Ben Lacey, Eva JA Morris, Martin White, Francesco Zaccardi, Kamlesh Khunti, Nazrul Islam

X Demographics

X Demographics

The data shown below were collected from the profiles of 97 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Ph. D. Student 4 9%
Unspecified 2 5%
Lecturer 1 2%
Student > Bachelor 1 2%
Other 4 9%
Unknown 22 51%
Readers by discipline Count As %
Medicine and Dentistry 7 16%
Nursing and Health Professions 5 12%
Unspecified 2 5%
Mathematics 1 2%
Psychology 1 2%
Other 3 7%
Unknown 24 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 321. 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 17 July 2024.
All research outputs
#110,735
of 26,362,847 outputs
Outputs from Journal of the Royal Society of Medicine
#53
of 3,910 outputs
Outputs of similar age
#2,781
of 412,056 outputs
Outputs of similar age from Journal of the Royal Society of Medicine
#2
of 14 outputs
Altmetric has tracked 26,362,847 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 3,910 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.3. This one has done particularly well, scoring higher than 98% 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 412,056 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 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.