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Correction to: Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial

Overview of attention for article published in PharmacoEconomics, March 2019
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1 tweeter
facebook
1 Facebook page

Readers on

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2 Mendeley
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Title
Correction to: Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial
Published in
PharmacoEconomics, March 2019
DOI 10.1007/s40273-019-00776-7
Authors

Baptiste Leurent, Manuel Gomes, Rita Faria, Stephen Morris, Richard Grieve, James R. Carpenter

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Lecturer > Senior Lecturer 1 50%
Readers by discipline Count As %
Medicine and Dentistry 2 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 March 2019.
All research outputs
#12,269,211
of 15,442,255 outputs
Outputs from PharmacoEconomics
#1,200
of 1,423 outputs
Outputs of similar age
#197,908
of 267,868 outputs
Outputs of similar age from PharmacoEconomics
#32
of 39 outputs
Altmetric has tracked 15,442,255 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,423 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 10th percentile – i.e., 10% 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 267,868 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.