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A review: Machine learning for strain sensor-integrated soft robots

Overview of attention for article published in Frontiers in Electronic Materials, November 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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2 X users

Citations

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3 Dimensions

Readers on

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10 Mendeley
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Title
A review: Machine learning for strain sensor-integrated soft robots
Published in
Frontiers in Electronic Materials, November 2022
DOI 10.3389/femat.2022.1000781
Authors

Haitao Yang, Wenbo Wu

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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 4 40%
Student > Bachelor 1 10%
Student > Postgraduate 1 10%
Unknown 4 40%
Readers by discipline Count As %
Unspecified 4 40%
Computer Science 1 10%
Psychology 1 10%
Materials Science 1 10%
Engineering 1 10%
Other 0 0%
Unknown 2 20%
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 14 November 2022.
All research outputs
#17,157,370
of 25,992,468 outputs
Outputs from Frontiers in Electronic Materials
#1
of 1 outputs
Outputs of similar age
#236,450
of 435,134 outputs
Outputs of similar age from Frontiers in Electronic Materials
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.2. This one scored the same or higher as 0 of them.
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 435,134 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them