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Best practices for addressing missing data through multiple imputation

Overview of attention for article published in Infant & Child Development, February 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

twitter
15 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
85 Mendeley
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Title
Best practices for addressing missing data through multiple imputation
Published in
Infant & Child Development, February 2023
DOI 10.1002/icd.2407
Authors

Adrienne D. Woods, Daria Gerasimova, Ben Van Dusen, Jayson Nissen, Sierra Bainter, Alex Uzdavines, Pamela E. Davis‐Kean, Max Halvorson, Kevin M. King, Jessica A. R. Logan, Menglin Xu, Martin R. Vasilev, James M. Clay, David Moreau, Keven Joyal‐Desmarais, Rick A. Cruz, Denver M. Y. Brown, Kathleen Schmidt, Mahmoud M. Elsherif

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 24%
Researcher 12 14%
Student > Master 12 14%
Student > Bachelor 5 6%
Professor 3 4%
Other 8 9%
Unknown 25 29%
Readers by discipline Count As %
Psychology 22 26%
Social Sciences 7 8%
Computer Science 5 6%
Nursing and Health Professions 4 5%
Economics, Econometrics and Finance 3 4%
Other 16 19%
Unknown 28 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 03 October 2023.
All research outputs
#2,873,895
of 25,988,468 outputs
Outputs from Infant & Child Development
#73
of 314 outputs
Outputs of similar age
#56,686
of 430,744 outputs
Outputs of similar age from Infant & Child Development
#1
of 3 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 314 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 99% 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 430,744 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them