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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters
|
|---|---|
| Published in |
arXiv, May 2022
|
| DOI | 10.1109/tg.2022.3173450 |
| Authors |
Anssi Kanervisto, Tomi Kinnunen, Ville Hautamki |
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 % |
|---|---|---|
| United States | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 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 % |
|---|---|---|
| Unspecified | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Student > Ph. D. Student | 2 | 6% |
| Student > Master | 1 | 3% |
| Professor > Associate Professor | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 21 | 66% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 19% |
| Unspecified | 3 | 9% |
| Earth and Planetary Sciences | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Unknown | 21 | 66% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 19 April 2023.
All research outputs
#2,842,240
of 25,392,582 outputs
Outputs from arXiv
#46,064
of 915,717 outputs
Outputs of similar age
#63,086
of 445,205 outputs
Outputs of similar age from arXiv
#1,513
of 28,640 outputs
Altmetric has tracked 25,392,582 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 915,717 research outputs from this source. They receive a mean Attention Score of 4.3. 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 445,205 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 85% of its contemporaries.
We're also able to compare this research output to 28,640 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.