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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A population-based approach for multi-agent interpretable reinforcement learning
|
|---|---|
| Published in |
Applied Soft Computing, November 2023
|
| DOI | 10.1016/j.asoc.2023.110758 |
| Authors |
Marco Crespi, Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca |
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 % |
|---|---|---|
| Italy | 4 | 57% |
| United Arab Emirates | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 13% |
| Lecturer | 1 | 13% |
| Unknown | 6 | 75% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 13% |
| Unknown | 7 | 88% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 30 August 2023.
All research outputs
#6,361,238
of 25,394,764 outputs
Outputs from Applied Soft Computing
#107
of 1,068 outputs
Outputs of similar age
#89,151
of 357,185 outputs
Outputs of similar age from Applied Soft Computing
#3
of 24 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,068 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 89% 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 357,185 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 74% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.