| Title |
A Markov Game model for valuing actions, locations, and team performance in ice hockey
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, March 2017
|
| DOI | 10.1007/s10618-017-0496-z |
| Authors |
Oliver Schulte, Mahmoud Khademi, Sajjad Gholami, Zeyu Zhao, Mehrsan Javan, Philippe Desaulniers |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 25% |
| United States | 1 | 13% |
| China | 1 | 13% |
| Canada | 1 | 13% |
| Spain | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 30% |
| Student > Ph. D. Student | 9 | 14% |
| Researcher | 8 | 13% |
| Student > Bachelor | 4 | 6% |
| Lecturer | 4 | 6% |
| Other | 7 | 11% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 22% |
| Sports and Recreations | 10 | 16% |
| Engineering | 6 | 10% |
| Business, Management and Accounting | 4 | 6% |
| Mathematics | 4 | 6% |
| Other | 12 | 19% |
| Unknown | 13 | 21% |
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 25 July 2023.
All research outputs
#2,801,467
of 24,169,085 outputs
Outputs from Data Mining and Knowledge Discovery
#32
of 552 outputs
Outputs of similar age
#51,187
of 312,819 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#3
of 15 outputs
Altmetric has tracked 24,169,085 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 552 research outputs from this source. They receive a mean Attention Score of 3.7. 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 312,819 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 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.