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‘Long-COVID’: a cross-sectional study of persisting symptoms, biomarker and imaging abnormalities following hospitalisation for COVID-19

Overview of attention for article published in Thorax, November 2020
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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 4,634)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
189 news outlets
blogs
3 blogs
twitter
223 tweeters
facebook
4 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
111 Mendeley
Title
‘Long-COVID’: a cross-sectional study of persisting symptoms, biomarker and imaging abnormalities following hospitalisation for COVID-19
Published in
Thorax, November 2020
DOI 10.1136/thoraxjnl-2020-215818
Pubmed ID
Authors

Swapna Mandal, Joseph Barnett, Simon E Brill, Jeremy S Brown, Emma K Denneny, Samanjit S Hare, Melissa Heightman, Toby E Hillman, Joseph Jacob, Hannah C Jarvis, Marc C I Lipman, Sindhu B Naidu, Arjun Nair, Joanna C Porter, Gillian S Tomlinson, John R Hurst

Twitter Demographics

The data shown below were collected from the profiles of 223 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 22%
Student > Bachelor 15 14%
Student > Ph. D. Student 11 10%
Other 9 8%
Unspecified 8 7%
Other 29 26%
Unknown 15 14%
Readers by discipline Count As %
Medicine and Dentistry 40 36%
Nursing and Health Professions 10 9%
Unspecified 9 8%
Biochemistry, Genetics and Molecular Biology 6 5%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Other 21 19%
Unknown 20 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 1674. 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 22 January 2021.
All research outputs
#2,723
of 16,663,134 outputs
Outputs from Thorax
#4
of 4,634 outputs
Outputs of similar age
#280
of 378,888 outputs
Outputs of similar age from Thorax
#1
of 60 outputs
Altmetric has tracked 16,663,134 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 4,634 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. 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 378,888 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 60 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.