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X Demographics
Mendeley readers
Attention Score in Context
| Title |
End-to-end decentralized formation control using a graph neural network-based learning method
|
|---|---|
| Published in |
Frontiers in Robotics and AI, November 2023
|
| DOI | 10.3389/frobt.2023.1285412 |
| Pubmed ID | |
| Authors |
Chao Jiang, Xinchi Huang, Yi Guo |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 8% |
| Unknown | 11 | 92% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 1 | 8% |
| Unknown | 11 | 92% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 November 2023.
All research outputs
#20,149,359
of 24,769,082 outputs
Outputs from Frontiers in Robotics and AI
#1,397
of 1,685 outputs
Outputs of similar age
#114,015
of 168,656 outputs
Outputs of similar age from Frontiers in Robotics and AI
#12
of 33 outputs
Altmetric has tracked 24,769,082 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,685 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 168,656 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.