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A unified model with inertia shaping for highly dynamic jumps of legged robots

Overview of attention for article published in Mechatronics, November 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
18 Mendeley
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Title
A unified model with inertia shaping for highly dynamic jumps of legged robots
Published in
Mechatronics, November 2023
DOI 10.1016/j.mechatronics.2023.103040
Authors

Ke Wang, Guiyang Xin, Songyan Xin, Michael Mistry, Sethu Vijayakumar, Petar Kormushev

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Student > Master 2 11%
Unspecified 1 6%
Lecturer > Senior Lecturer 1 6%
Researcher 1 6%
Other 0 0%
Unknown 6 33%
Readers by discipline Count As %
Engineering 9 50%
Unspecified 1 6%
Unknown 8 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 August 2023.
All research outputs
#15,533,143
of 25,394,764 outputs
Outputs from Mechatronics
#316
of 390 outputs
Outputs of similar age
#155,443
of 357,109 outputs
Outputs of similar age from Mechatronics
#2
of 5 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 390 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 18th percentile – i.e., 18% 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 357,109 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.