| Title |
Random Forests
|
|---|---|
| Published in |
Machine Learning, October 2001
|
| DOI | 10.1023/a:1010933404324 |
| Authors |
Leo Breiman |
X Demographics
The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 18% |
| United States | 2 | 6% |
| South Africa | 1 | 3% |
| Singapore | 1 | 3% |
| Denmark | 1 | 3% |
| Japan | 1 | 3% |
| Canada | 1 | 3% |
| Argentina | 1 | 3% |
| Switzerland | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 79% |
| Scientists | 6 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 28,067 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 182 | <1% |
| Germany | 81 | <1% |
| United Kingdom | 77 | <1% |
| Spain | 46 | <1% |
| Canada | 39 | <1% |
| France | 38 | <1% |
| Brazil | 34 | <1% |
| Switzerland | 33 | <1% |
| Japan | 23 | <1% |
| Other | 279 | <1% |
| Unknown | 27235 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5744 | 20% |
| Student > Master | 4625 | 16% |
| Researcher | 3361 | 12% |
| Student > Bachelor | 2128 | 8% |
| Student > Doctoral Student | 1362 | 5% |
| Other | 3405 | 12% |
| Unknown | 7442 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4724 | 17% |
| Engineering | 3368 | 12% |
| Agricultural and Biological Sciences | 2401 | 9% |
| Environmental Science | 1730 | 6% |
| Earth and Planetary Sciences | 1095 | 4% |
| Other | 5845 | 21% |
| Unknown | 8904 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 208. 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 26 March 2024.
All research outputs
#192,884
of 25,843,331 outputs
Outputs from Machine Learning
#1
of 1,270 outputs
Outputs of similar age
#94
of 45,016 outputs
Outputs of similar age from Machine Learning
#1
of 2 outputs
Altmetric has tracked 25,843,331 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,270 research outputs from this source. They receive a mean Attention Score of 4.3. 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 45,016 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 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them