| Title |
Inverse reinforcement learning from summary data
|
|---|---|
| Published in |
Machine Learning, June 2018
|
| DOI | 10.1007/s10994-018-5730-4 |
| Authors |
Antti Kangasrääsiö, Samuel Kaski |
X Demographics
The data shown below were collected from the profiles of 28 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 | 6 | 21% |
| Australia | 1 | 4% |
| Indonesia | 1 | 4% |
| Finland | 1 | 4% |
| Comoros | 1 | 4% |
| United Kingdom | 1 | 4% |
| Turkey | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 15 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 79% |
| Scientists | 5 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
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 % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 25% |
| Researcher | 10 | 16% |
| Student > Master | 7 | 11% |
| Professor | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 38% |
| Engineering | 13 | 21% |
| Medicine and Dentistry | 2 | 3% |
| Social Sciences | 2 | 3% |
| Mathematics | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 17 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 12 September 2018.
All research outputs
#2,887,840
of 24,998,746 outputs
Outputs from Machine Learning
#69
of 1,152 outputs
Outputs of similar age
#55,702
of 335,235 outputs
Outputs of similar age from Machine Learning
#4
of 12 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,152 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 94% 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 335,235 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.