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A general method for elicitation, imputation, and sensitivity analysis for incomplete repeated binary data

Overview of attention for article published in Statistics in Medicine, July 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
4 X users

Citations

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8 Dimensions

Readers on

mendeley
11 Mendeley
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Title
A general method for elicitation, imputation, and sensitivity analysis for incomplete repeated binary data
Published in
Statistics in Medicine, July 2020
DOI 10.1002/sim.8584
Pubmed ID
Authors

Daniel Tompsett, Stephen Sutton, Shaun R. Seaman, Ian R. White

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 > Postgraduate 1 9%
Student > Ph. D. Student 1 9%
Student > Master 1 9%
Unknown 5 45%
Readers by discipline Count As %
Mathematics 1 9%
Computer Science 1 9%
Medicine and Dentistry 1 9%
Engineering 1 9%
Unknown 7 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 October 2020.
All research outputs
#14,558,031
of 23,314,015 outputs
Outputs from Statistics in Medicine
#2,012
of 3,845 outputs
Outputs of similar age
#204,729
of 366,655 outputs
Outputs of similar age from Statistics in Medicine
#21
of 52 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,845 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 44th percentile – i.e., 44% 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 366,655 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 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 59% of its contemporaries.