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The behaviour of random forest permutation-based variable importance measures under predictor correlation

Overview of attention for article published in BMC Bioinformatics, February 2010
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Mentioned by

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1 Google+ user

Citations

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260 Dimensions

Readers on

mendeley
330 Mendeley
citeulike
4 CiteULike
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Title
The behaviour of random forest permutation-based variable importance measures under predictor correlation
Published in
BMC Bioinformatics, February 2010
DOI 10.1186/1471-2105-11-110
Pubmed ID
Authors

Kristin K Nicodemus, James D Malley, Carolin Strobl, Andreas Ziegler

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Colombia 2 <1%
Italy 2 <1%
Turkey 2 <1%
Canada 2 <1%
United Kingdom 2 <1%
Germany 2 <1%
Spain 2 <1%
Greece 2 <1%
Other 7 2%
Unknown 303 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 99 30%
Researcher 68 21%
Student > Master 41 12%
Student > Doctoral Student 21 6%
Student > Bachelor 20 6%
Other 44 13%
Unknown 37 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 22%
Environmental Science 39 12%
Computer Science 34 10%
Engineering 28 8%
Mathematics 24 7%
Other 69 21%
Unknown 62 19%
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 09 January 2017.
All research outputs
#15,423,393
of 22,931,367 outputs
Outputs from BMC Bioinformatics
#5,390
of 7,306 outputs
Outputs of similar age
#76,953
of 93,889 outputs
Outputs of similar age from BMC Bioinformatics
#47
of 70 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 93,889 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% 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 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.