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A measure of the impact of CV incompleteness on prediction error estimation with application to PCA and normalization

Overview of attention for article published in BMC Medical Research Methodology, November 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users

Citations

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18 Dimensions

Readers on

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20 Mendeley
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Title
A measure of the impact of CV incompleteness on prediction error estimation with application to PCA and normalization
Published in
BMC Medical Research Methodology, November 2015
DOI 10.1186/s12874-015-0088-9
Pubmed ID
Authors

Roman Hornung, Christoph Bernau, Caroline Truntzer, Rory Wilson, Thomas Stadler, Anne-Laure Boulesteix

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 15%
Student > Master 2 10%
Student > Postgraduate 2 10%
Student > Ph. D. Student 2 10%
Researcher 2 10%
Other 2 10%
Unknown 7 35%
Readers by discipline Count As %
Computer Science 3 15%
Agricultural and Biological Sciences 2 10%
Nursing and Health Professions 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Arts and Humanities 1 5%
Other 4 20%
Unknown 7 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 September 2021.
All research outputs
#13,226,909
of 23,308,124 outputs
Outputs from BMC Medical Research Methodology
#1,217
of 2,056 outputs
Outputs of similar age
#128,894
of 286,540 outputs
Outputs of similar age from BMC Medical Research Methodology
#13
of 21 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 39th percentile – i.e., 39% 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 286,540 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 54% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.