| Title |
OpenML: An R package to connect to the machine learning platform OpenML
|
|---|---|
| Published in |
Computational Statistics, June 2017
|
| DOI | 10.1007/s00180-017-0742-2 |
| Authors |
Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl |
X Demographics
The data shown below were collected from the profiles of 41 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 | 11 | 27% |
| Germany | 3 | 7% |
| Japan | 3 | 7% |
| United Kingdom | 2 | 5% |
| Spain | 2 | 5% |
| Netherlands | 2 | 5% |
| Norway | 1 | 2% |
| India | 1 | 2% |
| France | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 12 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 68% |
| Scientists | 13 | 32% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 2% |
| Unknown | 60 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 20% |
| Student > Ph. D. Student | 11 | 18% |
| Student > Master | 10 | 16% |
| Student > Doctoral Student | 5 | 8% |
| Professor > Associate Professor | 4 | 7% |
| Other | 7 | 11% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 33% |
| Mathematics | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 10 | 16% |
| Unknown | 19 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 03 January 2023.
All research outputs
#1,279,979
of 25,761,363 outputs
Outputs from Computational Statistics
#1
of 228 outputs
Outputs of similar age
#25,255
of 330,786 outputs
Outputs of similar age from Computational Statistics
#1
of 7 outputs
Altmetric has tracked 25,761,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 228 research outputs from this source. They receive a mean Attention Score of 3.1. 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 330,786 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 92% of its contemporaries.
We're also able to compare this research output to 7 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