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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Policy gradient methods for discrete time linear quadratic regulator with random parameters
|
|---|---|
| Published in |
ESAIM: Control, Optimisation & Calculus of Variations, April 2024
|
| DOI | 10.1051/cocv/2024014 |
| Authors |
Deyue Li |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 March 2023.
All research outputs
#16,983,185
of 25,738,558 outputs
Outputs from ESAIM: Control, Optimisation & Calculus of Variations
#30
of 148 outputs
Outputs of similar age
#88,105
of 185,374 outputs
Outputs of similar age from ESAIM: Control, Optimisation & Calculus of Variations
#1
of 2 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 148 research outputs from this source. They receive a mean Attention Score of 1.0. This one has done well, scoring higher than 78% 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 185,374 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 50% of its contemporaries.
We're also able to compare this research output to 2 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