| Title |
Online aggregation of unbounded losses using shifting experts with confidence
|
|---|---|
| Published in |
Machine Learning, August 2018
|
| DOI | 10.1007/s10994-018-5751-z |
| Authors |
Vladimir V’yugin, Vladimir Trunov |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 33% |
| Researcher | 2 | 33% |
| Other | 1 | 17% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 33% |
| Mathematics | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Engineering | 1 | 17% |
| Unknown | 1 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 January 2020.
All research outputs
#14,887,674
of 24,099,692 outputs
Outputs from Machine Learning
#569
of 1,044 outputs
Outputs of similar age
#183,302
of 334,680 outputs
Outputs of similar age from Machine Learning
#10
of 13 outputs
Altmetric has tracked 24,099,692 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,044 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 42nd percentile – i.e., 42% 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 334,680 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
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 is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.