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Visual-admittance-based model predictive control for nuclear collaborative robots

Overview of attention for article published in Frontiers in Energy Research, June 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Visual-admittance-based model predictive control for nuclear collaborative robots
Published in
Frontiers in Energy Research, June 2023
DOI 10.3389/fenrg.2023.1203904
Authors

Jun Qi, Zhao Xu, Jiru Chu, Minglei Zhu, Yunlong Teng

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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 24 June 2023.
All research outputs
#21,327,370
of 26,179,045 outputs
Outputs from Frontiers in Energy Research
#967
of 4,791 outputs
Outputs of similar age
#285,500
of 386,416 outputs
Outputs of similar age from Frontiers in Energy Research
#17
of 239 outputs
Altmetric has tracked 26,179,045 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 4,791 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 62% of its peers.
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 386,416 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 239 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 62% of its contemporaries.