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Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, January 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
64 Mendeley
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Title
Genetic Algorithm-Based Trajectory Optimization for Digital Twin Robots
Published in
Frontiers in Bioengineering and Biotechnology, January 2022
DOI 10.3389/fbioe.2021.793782
Pubmed ID
Authors

Xin Liu, Du Jiang, Bo Tao, Guozhang Jiang, Ying Sun, Jianyi Kong, Xiliang Tong, Guojun Zhao, Baojia Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 11%
Student > Doctoral Student 5 8%
Lecturer 4 6%
Researcher 4 6%
Student > Ph. D. Student 4 6%
Other 8 13%
Unknown 32 50%
Readers by discipline Count As %
Engineering 21 33%
Unspecified 2 3%
Business, Management and Accounting 2 3%
Computer Science 2 3%
Agricultural and Biological Sciences 1 2%
Other 2 3%
Unknown 34 53%
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 10 January 2022.
All research outputs
#17,122,272
of 25,155,561 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,080
of 8,308 outputs
Outputs of similar age
#303,078
of 517,658 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#207
of 558 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,308 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 59% 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 517,658 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 558 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 56% of its contemporaries.