↓ Skip to main content

Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study

Overview of attention for article published in BMC Medical Research Methodology, July 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 X users

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
36 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
Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study
Published in
BMC Medical Research Methodology, July 2020
DOI 10.1186/s12874-020-01068-x
Pubmed ID
Authors

Matthew Sperrin, Glen P. Martin

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Ph. D. Student 5 14%
Student > Doctoral Student 4 11%
Unspecified 3 8%
Other 2 6%
Other 5 14%
Unknown 9 25%
Readers by discipline Count As %
Medicine and Dentistry 6 17%
Unspecified 3 8%
Mathematics 3 8%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 2 6%
Other 7 19%
Unknown 13 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 March 2021.
All research outputs
#5,335,502
of 25,500,206 outputs
Outputs from BMC Medical Research Methodology
#831
of 2,289 outputs
Outputs of similar age
#125,518
of 430,560 outputs
Outputs of similar age from BMC Medical Research Methodology
#40
of 73 outputs
Altmetric has tracked 25,500,206 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,289 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 63% 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 430,560 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 70% of its contemporaries.
We're also able to compare this research output to 73 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.