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Prediction intervals for future BMI values of individual children - a non-parametric approach by quantile boosting

Overview of attention for article published in BMC Medical Research Methodology, January 2012
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1 tweeter

Citations

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19 Dimensions

Readers on

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21 Mendeley
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2 CiteULike
Title
Prediction intervals for future BMI values of individual children - a non-parametric approach by quantile boosting
Published in
BMC Medical Research Methodology, January 2012
DOI 10.1186/1471-2288-12-6
Pubmed ID
Authors

Andreas Mayr, Torsten Hothorn, Nora Fenske

Abstract

The construction of prediction intervals (PIs) for future body mass index (BMI) values of individual children based on a recent German birth cohort study with n = 2007 children is problematic for standard parametric approaches, as the BMI distribution in childhood is typically skewed depending on age.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Professor > Associate Professor 5 24%
Researcher 2 10%
Student > Master 2 10%
Student > Postgraduate 2 10%
Other 5 24%
Readers by discipline Count As %
Medicine and Dentistry 7 33%
Social Sciences 3 14%
Computer Science 2 10%
Mathematics 2 10%
Economics, Econometrics and Finance 2 10%
Other 5 24%

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 04 February 2012.
All research outputs
#9,839,425
of 12,320,465 outputs
Outputs from BMC Medical Research Methodology
#896
of 1,072 outputs
Outputs of similar age
#168,971
of 242,886 outputs
Outputs of similar age from BMC Medical Research Methodology
#19
of 25 outputs
Altmetric has tracked 12,320,465 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 1,072 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.