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Causal inference in multi-state models–sickness absence and work for 1145 participants after work rehabilitation

Overview of attention for article published in BMC Public Health, October 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
facebook
2 Facebook pages

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
66 Mendeley
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Title
Causal inference in multi-state models–sickness absence and work for 1145 participants after work rehabilitation
Published in
BMC Public Health, October 2015
DOI 10.1186/s12889-015-2408-8
Pubmed ID
Authors

Jon Michael Gran, Stein Atle Lie, Irene Øyeflaten, Ørnulf Borgan, Odd O. Aalen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 23%
Student > Ph. D. Student 10 15%
Student > Doctoral Student 6 9%
Professor > Associate Professor 6 9%
Student > Bachelor 3 5%
Other 9 14%
Unknown 17 26%
Readers by discipline Count As %
Medicine and Dentistry 15 23%
Social Sciences 9 14%
Mathematics 8 12%
Nursing and Health Professions 2 3%
Agricultural and Biological Sciences 2 3%
Other 7 11%
Unknown 23 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 November 2023.
All research outputs
#8,269,042
of 25,998,826 outputs
Outputs from BMC Public Health
#9,127
of 17,876 outputs
Outputs of similar age
#96,030
of 298,517 outputs
Outputs of similar age from BMC Public Health
#148
of 279 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 17,876 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 298,517 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.