Title |
Bias in random forest variable importance measures: Illustrations, sources and a solution
|
---|---|
Published in |
BMC Bioinformatics, January 2007
|
DOI | 10.1186/1471-2105-8-25 |
Pubmed ID | |
Authors |
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeileis, Torsten Hothorn |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 20% |
Spain | 2 | 10% |
United Kingdom | 2 | 10% |
Canada | 2 | 10% |
Greece | 1 | 5% |
Portugal | 1 | 5% |
France | 1 | 5% |
Japan | 1 | 5% |
Unknown | 6 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 50% |
Scientists | 10 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,221 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 33 | 1% |
Germany | 14 | <1% |
United Kingdom | 10 | <1% |
Canada | 7 | <1% |
Italy | 5 | <1% |
France | 4 | <1% |
Australia | 3 | <1% |
Brazil | 3 | <1% |
Switzerland | 3 | <1% |
Other | 27 | 1% |
Unknown | 2112 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 531 | 24% |
Researcher | 382 | 17% |
Student > Master | 364 | 16% |
Student > Bachelor | 154 | 7% |
Student > Doctoral Student | 120 | 5% |
Other | 276 | 12% |
Unknown | 394 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 342 | 15% |
Environmental Science | 232 | 10% |
Computer Science | 226 | 10% |
Engineering | 192 | 9% |
Earth and Planetary Sciences | 107 | 5% |
Other | 597 | 27% |
Unknown | 525 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. 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 February 2024.
All research outputs
#737,768
of 25,584,565 outputs
Outputs from BMC Bioinformatics
#39
of 7,722 outputs
Outputs of similar age
#1,652
of 174,505 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 53 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,722 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 99% 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 174,505 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.