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Multiple imputation using chained equations for missing data in TIMSS: a case study

Overview of attention for article published in Large-scale Assessments in Education, September 2013
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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 (81st percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
93 Mendeley
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Title
Multiple imputation using chained equations for missing data in TIMSS: a case study
Published in
Large-scale Assessments in Education, September 2013
DOI 10.1186/2196-0739-1-4
Authors

Donia Smaali Bouhlila, Fethi Sellaouti

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Spain 1 1%
Sweden 1 1%
Brazil 1 1%
Unknown 88 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Researcher 17 18%
Student > Master 14 15%
Professor > Associate Professor 7 8%
Student > Bachelor 5 5%
Other 14 15%
Unknown 15 16%
Readers by discipline Count As %
Social Sciences 20 22%
Mathematics 16 17%
Medicine and Dentistry 9 10%
Computer Science 8 9%
Psychology 5 5%
Other 15 16%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 23 July 2018.
All research outputs
#4,005,909
of 22,738,543 outputs
Outputs from Large-scale Assessments in Education
#62
of 136 outputs
Outputs of similar age
#32,626
of 179,684 outputs
Outputs of similar age from Large-scale Assessments in Education
#1
of 2 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 136 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 54% 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 179,684 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 81% of its contemporaries.
We're also able to compare this research output to 2 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