You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Conditional variable importance for random forests
|
|---|---|
| Published in |
BMC Bioinformatics, July 2008
|
| DOI | 10.1186/1471-2105-9-307 |
| Pubmed ID | |
| Authors |
Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,891 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 1% |
| United Kingdom | 14 | <1% |
| Germany | 10 | <1% |
| Spain | 8 | <1% |
| Canada | 8 | <1% |
| Switzerland | 5 | <1% |
| Australia | 5 | <1% |
| Brazil | 4 | <1% |
| Belgium | 4 | <1% |
| Other | 35 | 2% |
| Unknown | 1777 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 484 | 26% |
| Researcher | 338 | 18% |
| Student > Master | 275 | 15% |
| Student > Bachelor | 115 | 6% |
| Student > Doctoral Student | 101 | 5% |
| Other | 248 | 13% |
| Unknown | 330 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 313 | 17% |
| Environmental Science | 214 | 11% |
| Computer Science | 181 | 10% |
| Engineering | 154 | 8% |
| Earth and Planetary Sciences | 90 | 5% |
| Other | 495 | 26% |
| Unknown | 444 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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
#890,630
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#61
of 7,793 outputs
Outputs of similar age
#1,812
of 100,069 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 44 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 100,069 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 97% of its contemporaries.
We're also able to compare this research output to 44 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 97% of its contemporaries.