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X Demographics
Mendeley readers
Attention Score in Context
| 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 2,237 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 | 2128 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 535 | 24% |
| Researcher | 384 | 17% |
| Student > Master | 365 | 16% |
| Student > Bachelor | 154 | 7% |
| Student > Doctoral Student | 119 | 5% |
| Other | 281 | 13% |
| Unknown | 399 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 341 | 15% |
| Environmental Science | 232 | 10% |
| Computer Science | 226 | 10% |
| Engineering | 193 | 9% |
| Earth and Planetary Sciences | 107 | 5% |
| Other | 608 | 27% |
| Unknown | 530 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 55. 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 07 November 2022.
All research outputs
#782,053
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#45
of 7,793 outputs
Outputs of similar age
#1,777
of 178,352 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 54 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 178,352 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 98% of its contemporaries.
We're also able to compare this research output to 54 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 98% of its contemporaries.