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Attention Score in Context
Title |
Prioritized experience replay in path planning via multi-dimensional transition priority fusion
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Published in |
Frontiers in Neurorobotics, November 2023
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DOI | 10.3389/fnbot.2023.1281166 |
Pubmed ID | |
Authors |
Nuo Cheng, Peng Wang, Guangyuan Zhang, Cui Ni, Erkin Nematov |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
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 06 December 2023.
All research outputs
#22,352,517
of 24,945,754 outputs
Outputs from Frontiers in Neurorobotics
#778
of 1,005 outputs
Outputs of similar age
#196,582
of 245,741 outputs
Outputs of similar age from Frontiers in Neurorobotics
#12
of 24 outputs
Altmetric has tracked 24,945,754 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 1,005 research outputs from this source. They receive a mean Attention Score of 4.0. 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 245,741 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 24 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.