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Automatic vessel plate number recognition for surface unmanned vehicles with marine applications

Overview of attention for article published in Frontiers in Neurorobotics, April 2023
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Title
Automatic vessel plate number recognition for surface unmanned vehicles with marine applications
Published in
Frontiers in Neurorobotics, April 2023
DOI 10.3389/fnbot.2023.1131392
Pubmed ID
Authors

Renran Zhang, Lei Zhang, Yumin Su, Qingze Yu, Gaoyi Bai

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Attention Score in Context

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 08 May 2023.
All research outputs
#21,071,613
of 23,714,250 outputs
Outputs from Frontiers in Neurorobotics
#739
of 923 outputs
Outputs of similar age
#214,728
of 275,300 outputs
Outputs of similar age from Frontiers in Neurorobotics
#11
of 19 outputs
Altmetric has tracked 23,714,250 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 923 research outputs from this source. They receive a mean Attention Score of 4.1. 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 275,300 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 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.