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Calibration and XGBoost reweighting to reduce coverage and non-response biases in overlapping panel surveys: application to the Healthcare and Social Survey

Overview of attention for article published in BMC Medical Research Methodology, February 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
6 X users
facebook
1 Facebook page

Readers on

mendeley
6 Mendeley
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Title
Calibration and XGBoost reweighting to reduce coverage and non-response biases in overlapping panel surveys: application to the Healthcare and Social Survey
Published in
BMC Medical Research Methodology, February 2024
DOI 10.1186/s12874-024-02171-z
Pubmed ID
Authors

Luis Castro, María del Mar Rueda, Carmen Sánchez-Cantalejo, Ramón Ferri, Andrés Cabrera-León

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Student > Doctoral Student 1 17%
Student > Ph. D. Student 1 17%
Student > Master 1 17%
Researcher 1 17%
Other 1 17%
Readers by discipline Count As %
Unspecified 1 17%
Environmental Science 1 17%
Mathematics 1 17%
Nursing and Health Professions 1 17%
Earth and Planetary Sciences 1 17%
Other 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 February 2024.
All research outputs
#6,906,958
of 25,392,205 outputs
Outputs from BMC Medical Research Methodology
#1,031
of 2,268 outputs
Outputs of similar age
#47,380
of 186,389 outputs
Outputs of similar age from BMC Medical Research Methodology
#11
of 23 outputs
Altmetric has tracked 25,392,205 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. 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 186,389 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.