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Considerations for Using Multiple Imputation in Propensity Score-Weighted Analysis – A Tutorial with Applied Example

Overview of attention for article published in Clinical Epidemiology, July 2022
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Title
Considerations for Using Multiple Imputation in Propensity Score-Weighted Analysis – A Tutorial with Applied Example
Published in
Clinical Epidemiology, July 2022
DOI 10.2147/clep.s354733
Pubmed ID
Authors

Andreas Halgreen Eiset, Morten Frydenberg

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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 21%
Student > Ph. D. Student 3 21%
Other 1 7%
Researcher 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 5 36%
Readers by discipline Count As %
Medicine and Dentistry 3 21%
Pharmacology, Toxicology and Pharmaceutical Science 2 14%
Nursing and Health Professions 1 7%
Social Sciences 1 7%
Engineering 1 7%
Other 0 0%
Unknown 6 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 July 2022.
All research outputs
#18,432,465
of 22,835,198 outputs
Outputs from Clinical Epidemiology
#568
of 719 outputs
Outputs of similar age
#305,373
of 436,128 outputs
Outputs of similar age from Clinical Epidemiology
#11
of 18 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 719 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 436,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.