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Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey

Overview of attention for article published in BMC Medical Research Methodology, March 2023
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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5 Mendeley
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Title
Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey
Published in
BMC Medical Research Methodology, March 2023
DOI 10.1186/s12874-023-01892-x
Pubmed ID
Authors

Ingrid Pelgrims, Brecht Devleesschauwer, Stefanie Vandevijvere, Eva M. De Clercq, Stijn Vansteelandt, Vanessa Gorasso, Johan Van der Heyden

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Researcher 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Mathematics 1 20%
Social Sciences 1 20%
Medicine and Dentistry 1 20%
Unknown 2 40%
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 26 March 2023.
All research outputs
#15,808,427
of 23,477,147 outputs
Outputs from BMC Medical Research Methodology
#1,555
of 2,075 outputs
Outputs of similar age
#123,890
of 235,122 outputs
Outputs of similar age from BMC Medical Research Methodology
#22
of 30 outputs
Altmetric has tracked 23,477,147 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,075 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 16th percentile – i.e., 16% 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 235,122 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.