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X Demographics
Attention Score in Context
Title |
Multi-agent reinforcement learning based algorithm detection of malware-infected nodes in IoT networks
|
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Published in |
Logic Journal of the IGPL, May 2024
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DOI | 10.1093/jigpal/jzae068 |
Authors |
Marcos Severt, Roberto Casado-Vara, Ángel Martín del Rey, Héctor Quintián, Jose Luis Calvo-Rolle |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 May 2024.
All research outputs
#14,858,837
of 25,990,981 outputs
Outputs from Logic Journal of the IGPL
#58
of 231 outputs
Outputs of similar age
#60,195
of 175,020 outputs
Outputs of similar age from Logic Journal of the IGPL
#1
of 6 outputs
Altmetric has tracked 25,990,981 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 231 research outputs from this source. They receive a mean Attention Score of 1.9. This one has gotten more attention than average, scoring higher than 73% 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 175,020 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them