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Bayesian Hierarchical Models for Meta-Analysis of Quality-of-Life Outcomes: An Application in Multimorbidity

Overview of attention for article published in PharmacoEconomics, October 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Bayesian Hierarchical Models for Meta-Analysis of Quality-of-Life Outcomes: An Application in Multimorbidity
Published in
PharmacoEconomics, October 2019
DOI 10.1007/s40273-019-00843-z
Pubmed ID
Authors

Susanne Schmitz, Tatjana T. Makovski, Roisin Adams, Marjan van den Akker, Saverio Stranges, Maurice P. Zeegers

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 14%
Researcher 3 11%
Student > Bachelor 2 7%
Other 1 4%
Student > Ph. D. Student 1 4%
Other 3 11%
Unknown 14 50%
Readers by discipline Count As %
Medicine and Dentistry 5 18%
Business, Management and Accounting 1 4%
Nursing and Health Professions 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Economics, Econometrics and Finance 1 4%
Other 3 11%
Unknown 16 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 December 2019.
All research outputs
#6,487,182
of 23,166,665 outputs
Outputs from PharmacoEconomics
#764
of 1,868 outputs
Outputs of similar age
#118,240
of 350,003 outputs
Outputs of similar age from PharmacoEconomics
#14
of 26 outputs
Altmetric has tracked 23,166,665 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,868 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 59% 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 350,003 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 65% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.