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Estimating disease incidence rates and transition probabilities in elderly patients using multi-state models: a case study in fragility fracture using a Bayesian approach

Overview of attention for article published in BMC Medical Research Methodology, February 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Estimating disease incidence rates and transition probabilities in elderly patients using multi-state models: a case study in fragility fracture using a Bayesian approach
Published in
BMC Medical Research Methodology, February 2023
DOI 10.1186/s12874-023-01859-y
Pubmed ID
Authors

Fran Llopis-Cardona, Carmen Armero, Gabriel Sanfélix-Gimeno

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Student > Master 2 18%
Student > Ph. D. Student 1 9%
Unknown 5 45%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Arts and Humanities 1 9%
Social Sciences 1 9%
Decision Sciences 1 9%
Unknown 5 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 March 2023.
All research outputs
#8,172,986
of 24,501,737 outputs
Outputs from BMC Medical Research Methodology
#1,182
of 2,174 outputs
Outputs of similar age
#156,403
of 465,291 outputs
Outputs of similar age from BMC Medical Research Methodology
#26
of 54 outputs
Altmetric has tracked 24,501,737 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,174 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 42nd percentile – i.e., 42% 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 465,291 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 63% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.