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Research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system

Overview of attention for article published in Frontiers in Robotics and AI, July 2023
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Research on path planning of autonomous manganese nodule mining vehicle based on lifting mining system
Published in
Frontiers in Robotics and AI, July 2023
DOI 10.3389/frobt.2023.1224115
Pubmed ID
Authors

Yingchun Xie, Chaoqun Liu, Xuguang Chen, Guijie Liu, Dingxin Leng, Wei Pan, Shuai Shao

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Unknown 2 50%
Readers by discipline Count As %
Earth and Planetary Sciences 2 50%
Unknown 2 50%
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 27 July 2023.
All research outputs
#19,639,017
of 24,153,435 outputs
Outputs from Frontiers in Robotics and AI
#1,375
of 1,613 outputs
Outputs of similar age
#117,828
of 165,851 outputs
Outputs of similar age from Frontiers in Robotics and AI
#14
of 21 outputs
Altmetric has tracked 24,153,435 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 1,613 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. 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 165,851 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 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.