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Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

Overview of attention for article published in British Medical Journal, June 2009
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
50 X users
patent
1 patent
facebook
1 Facebook page
q&a
2 Q&A threads

Citations

dimensions_citation
5022 Dimensions

Readers on

mendeley
3489 Mendeley
citeulike
8 CiteULike
connotea
1 Connotea
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Title
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
Published in
British Medical Journal, June 2009
DOI 10.1136/bmj.b2393
Pubmed ID
Authors

Jonathan A C Sterne, Ian R White, John B Carlin, Michael Spratt, Patrick Royston, Michael G Kenward, Angela M Wood, James R Carpenter

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 3,489 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 25 <1%
United States 23 <1%
Canada 6 <1%
Germany 5 <1%
Switzerland 5 <1%
Spain 5 <1%
Australia 4 <1%
Japan 4 <1%
Brazil 3 <1%
Other 29 <1%
Unknown 3380 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 760 22%
Researcher 596 17%
Student > Master 512 15%
Student > Bachelor 200 6%
Student > Doctoral Student 195 6%
Other 605 17%
Unknown 621 18%
Readers by discipline Count As %
Medicine and Dentistry 1102 32%
Psychology 274 8%
Social Sciences 184 5%
Nursing and Health Professions 178 5%
Mathematics 125 4%
Other 726 21%
Unknown 900 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 57. 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 January 2024.
All research outputs
#764,524
of 26,017,215 outputs
Outputs from British Medical Journal
#8,153
of 65,079 outputs
Outputs of similar age
#1,935
of 127,803 outputs
Outputs of similar age from British Medical Journal
#20
of 198 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 65,079 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.1. This one has done well, scoring higher than 87% 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 127,803 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.