| Title |
ML-Plan: Automated machine learning via hierarchical planning
|
|---|---|
| Published in |
Machine Learning, July 2018
|
| DOI | 10.1007/s10994-018-5735-z |
| Authors |
Felix Mohr, Marcel Wever, Eyke Hüllermeier |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 149 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 24% |
| Student > Master | 22 | 15% |
| Researcher | 14 | 9% |
| Student > Bachelor | 8 | 5% |
| Student > Doctoral Student | 6 | 4% |
| Other | 17 | 11% |
| Unknown | 46 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 68 | 46% |
| Engineering | 15 | 10% |
| Mathematics | 4 | 3% |
| Medicine and Dentistry | 3 | 2% |
| Biochemistry, Genetics and Molecular Biology | 2 | 1% |
| Other | 8 | 5% |
| Unknown | 49 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 11 April 2023.
All research outputs
#6,226,169
of 23,556,846 outputs
Outputs from Machine Learning
#207
of 1,012 outputs
Outputs of similar age
#105,427
of 329,003 outputs
Outputs of similar age from Machine Learning
#6
of 13 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,012 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 79% 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 329,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.