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Curvilinear Kirigami Skins Let Soft Bending Actuators Slither Faster

Overview of attention for article published in Frontiers in Robotics and AI, May 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
12 Mendeley
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Title
Curvilinear Kirigami Skins Let Soft Bending Actuators Slither Faster
Published in
Frontiers in Robotics and AI, May 2022
DOI 10.3389/frobt.2022.872007
Pubmed ID
Authors

Callie Branyan, Ahmad Rafsanjani, Katia Bertoldi, Ross L. Hatton, Yiğit Mengüç

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 17%
Student > Ph. D. Student 2 17%
Researcher 1 8%
Student > Master 1 8%
Unknown 6 50%
Readers by discipline Count As %
Computer Science 1 8%
Agricultural and Biological Sciences 1 8%
Social Sciences 1 8%
Engineering 1 8%
Unknown 8 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 May 2022.
All research outputs
#7,315,791
of 23,312,088 outputs
Outputs from Frontiers in Robotics and AI
#493
of 1,540 outputs
Outputs of similar age
#144,571
of 442,928 outputs
Outputs of similar age from Frontiers in Robotics and AI
#22
of 93 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,540 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 67% 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 442,928 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 67% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.