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X Demographics
Mendeley readers
Attention Score in Context
Title |
Collision avoidance for autonomous ship using deep reinforcement learning and prior-knowledge-based approximate representation
|
---|---|
Published in |
Frontiers in Marine Science, January 2023
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DOI | 10.3389/fmars.2022.1084763 |
Authors |
Chengbo Wang, Xinyu Zhang, Zaili Yang, Musa Bashir, Kwangil Lee |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 13% |
Student > Master | 2 | 8% |
Student > Bachelor | 2 | 8% |
Student > Doctoral Student | 1 | 4% |
Lecturer | 1 | 4% |
Other | 0 | 0% |
Unknown | 15 | 63% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 29% |
Social Sciences | 2 | 8% |
Computer Science | 1 | 4% |
Unknown | 14 | 58% |
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 20 January 2023.
All research outputs
#15,174,183
of 24,089,711 outputs
Outputs from Frontiers in Marine Science
#5,496
of 9,650 outputs
Outputs of similar age
#208,112
of 435,945 outputs
Outputs of similar age from Frontiers in Marine Science
#256
of 736 outputs
Altmetric has tracked 24,089,711 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,650 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 39th percentile – i.e., 39% 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 435,945 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 736 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.