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A flexible approach for variable selection in large-scale healthcare database studies with missing covariate and outcome data

Overview of attention for article published in BMC Medical Research Methodology, May 2022
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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9 Mendeley
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Title
A flexible approach for variable selection in large-scale healthcare database studies with missing covariate and outcome data
Published in
BMC Medical Research Methodology, May 2022
DOI 10.1186/s12874-022-01608-7
Pubmed ID
Authors

Jung-Yi Joyce Lin, Liangyuan Hu, Chuyue Huang, Ji Jiayi, Steven Lawrence, Usha Govindarajulu

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 11%
Student > Ph. D. Student 1 11%
Lecturer > Senior Lecturer 1 11%
Unknown 6 67%
Readers by discipline Count As %
Unspecified 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Medicine and Dentistry 1 11%
Unknown 6 67%
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 23 August 2022.
All research outputs
#19,789,047
of 24,318,236 outputs
Outputs from BMC Medical Research Methodology
#1,862
of 2,158 outputs
Outputs of similar age
#321,674
of 432,144 outputs
Outputs of similar age from BMC Medical Research Methodology
#57
of 70 outputs
Altmetric has tracked 24,318,236 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 6th percentile – i.e., 6% 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 432,144 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.