| Title |
Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates
|
|---|---|
| Published in |
Statistics and Computing, May 2017
|
| DOI | 10.1007/s11222-017-9754-6 |
| Authors |
Janek Thomas, Andreas Mayr, Bernd Bischl, Matthias Schmid, Adam Smith, Benjamin Hofner |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 25% |
| Researcher | 6 | 19% |
| Student > Master | 6 | 19% |
| Student > Doctoral Student | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 4 | 13% |
| Computer Science | 4 | 13% |
| Environmental Science | 3 | 9% |
| Earth and Planetary Sciences | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 13 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 December 2016.
All research outputs
#17,828,338
of 22,903,988 outputs
Outputs from Statistics and Computing
#360
of 503 outputs
Outputs of similar age
#221,704
of 310,401 outputs
Outputs of similar age from Statistics and Computing
#5
of 6 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 503 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 310,401 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.