↓ Skip to main content

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
Altmetric Badge

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 (53rd percentile)

Mentioned by

twitter
4 tweeters

Readers on

mendeley
4 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 75%
Student > Master 1 25%
Readers by discipline Count As %
Mathematics 1 25%
Computer Science 1 25%
Medicine and Dentistry 1 25%
Unknown 1 25%

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
#9,033,337
of 16,001,169 outputs
Outputs from Statistics in Medicine
#1,494
of 3,190 outputs
Outputs of similar age
#143,957
of 295,998 outputs
Outputs of similar age from Statistics in Medicine
#18
of 41 outputs
Altmetric has tracked 16,001,169 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,190 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 52% 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 295,998 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 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.