| Title |
Georgios N. Yannakakis and Julian Togelius: Artificial Intelligence and Games
|
|---|---|
| Published in |
Genetic Programming and Evolvable Machines, September 2018
|
| DOI | 10.1007/s10710-018-9337-0 |
| Authors |
Pablo García-Sánchez |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 9% |
| United States | 1 | 9% |
| Finland | 1 | 9% |
| Malta | 1 | 9% |
| Grenada | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 4 | 36% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer > Senior Lecturer | 1 | 25% |
| Student > Bachelor | 1 | 25% |
| Student > Master | 1 | 25% |
| Researcher | 1 | 25% |
| Student > Postgraduate | 1 | 25% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 75% |
| Business, Management and Accounting | 1 | 25% |
| Engineering | 1 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 06 December 2018.
All research outputs
#3,584,762
of 23,103,436 outputs
Outputs from Genetic Programming and Evolvable Machines
#7
of 120 outputs
Outputs of similar age
#70,509
of 337,559 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#2
of 8 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 120 research outputs from this source. They receive a mean Attention Score of 3.5. 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 337,559 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 79% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.