| Title |
A computationally fast variable importance test for random forests for high-dimensional data
|
|---|---|
| Published in |
Advances in Data Analysis and Classification, August 2016
|
| DOI | 10.1007/s11634-016-0270-x |
| Authors |
Silke Janitza, Ender Celik, Anne-Laure Boulesteix |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 29% |
| Researcher | 3 | 18% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Other | 4 | 24% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 18% |
| Medicine and Dentistry | 3 | 18% |
| Engineering | 2 | 12% |
| Computer Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 5 | 29% |
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 13 October 2016.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Advances in Data Analysis and Classification
#87
of 116 outputs
Outputs of similar age
#299,478
of 381,020 outputs
Outputs of similar age from Advances in Data Analysis and Classification
#3
of 3 outputs
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So far Altmetric has tracked 116 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.