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Hybrid Inspired Research on the Flying-Jumping Locomotion of Locusts Using Robot Counterpart

Overview of attention for article published in Frontiers in Neurorobotics, October 2019
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Mentioned by

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3 X users

Readers on

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26 Mendeley
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Title
Hybrid Inspired Research on the Flying-Jumping Locomotion of Locusts Using Robot Counterpart
Published in
Frontiers in Neurorobotics, October 2019
DOI 10.3389/fnbot.2019.00087
Pubmed ID
Authors

Dunwen Wei, Tao Gao, Zhaoxin Li, Xiaojuan Mo, Shuqin Zheng, Cong Zhou

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Bachelor 2 8%
Student > Doctoral Student 2 8%
Student > Master 2 8%
Professor > Associate Professor 2 8%
Other 0 0%
Unknown 14 54%
Readers by discipline Count As %
Engineering 7 27%
Agricultural and Biological Sciences 2 8%
Computer Science 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Materials Science 1 4%
Other 1 4%
Unknown 13 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 09 November 2019.
All research outputs
#20,140,993
of 25,622,179 outputs
Outputs from Frontiers in Neurorobotics
#562
of 1,050 outputs
Outputs of similar age
#271,073
of 375,656 outputs
Outputs of similar age from Frontiers in Neurorobotics
#15
of 24 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,050 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 37th percentile – i.e., 37% 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 375,656 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% 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 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.