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Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort

Overview of attention for article published in BMC Public Health, May 2021
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
11 news outlets
policy
1 policy source
twitter
91 X users
facebook
1 Facebook page

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
122 Mendeley
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Title
Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort
Published in
BMC Public Health, May 2021
DOI 10.1186/s12889-021-11013-2
Pubmed ID
Authors

Emma Westerlind, Annie Palstam, Katharina S. Sunnerhagen, Hanna C. Persson

X Demographics

X Demographics

The data shown below were collected from the profiles of 91 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 122 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 11%
Student > Ph. D. Student 12 10%
Researcher 9 7%
Student > Bachelor 7 6%
Librarian 4 3%
Other 17 14%
Unknown 60 49%
Readers by discipline Count As %
Medicine and Dentistry 25 20%
Nursing and Health Professions 12 10%
Social Sciences 6 5%
Psychology 4 3%
Economics, Econometrics and Finance 4 3%
Other 12 10%
Unknown 59 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 134. 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 21 February 2024.
All research outputs
#314,979
of 25,837,817 outputs
Outputs from BMC Public Health
#282
of 17,839 outputs
Outputs of similar age
#8,930
of 462,668 outputs
Outputs of similar age from BMC Public Health
#10
of 472 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,839 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. 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 462,668 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 98% of its contemporaries.
We're also able to compare this research output to 472 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 97% of its contemporaries.