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Ordered quantile normalization: a semiparametric transformation built for the cross-validation era

Overview of attention for article published in Journal of Applied Statistics, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 632)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

policy
1 policy source
twitter
7 X users
patent
2 patents
reddit
1 Redditor
bluesky
1 Bluesky user

Readers on

mendeley
299 Mendeley
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Article details
Title
Ordered quantile normalization: a semiparametric transformation built for the cross-validation era
Published in
Journal of Applied Statistics, June 2019
DOI 10.1080/02664763.2019.1630372
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 299 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 299 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 58 19%
Student > Master 37 12%
Researcher 34 11%
Student > Bachelor 26 9%
Student > Doctoral Student 16 5%
Other 31 10%
Unknown 97 32%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 53 18%
Environmental Science 24 8%
Biochemistry, Genetics and Molecular Biology 17 6%
Computer Science 14 5%
Engineering 12 4%
Other 70 23%
Unknown 109 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 09 June 2026.
All research outputs
#2,784,918
of 34,217,933 outputs
Outputs from Journal of Applied Statistics
#12
of 632 outputs
Outputs of similar age
#45,233
of 399,396 outputs
Outputs of similar age from Journal of Applied Statistics
#1
of 10 outputs
Altmetric has tracked 34,217,933 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 632 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 98% 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 399,396 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them