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Editorial: Privacy-preserving deep heterogeneous view perception for data learning in neurorobotics volume II

Overview of attention for article published in Frontiers in Neurorobotics, February 2023
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Title
Editorial: Privacy-preserving deep heterogeneous view perception for data learning in neurorobotics volume II
Published in
Frontiers in Neurorobotics, February 2023
DOI 10.3389/fnbot.2023.1151609
Pubmed ID
Authors

Peng Li

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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 04 March 2023.
All research outputs
#20,867,287
of 23,485,204 outputs
Outputs from Frontiers in Neurorobotics
#731
of 917 outputs
Outputs of similar age
#293,026
of 374,513 outputs
Outputs of similar age from Frontiers in Neurorobotics
#28
of 56 outputs
Altmetric has tracked 23,485,204 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 917 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 374,513 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 56 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.