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A soft stretchable bending sensor and data glove applications

Overview of attention for article published in Robotics and Biomimetics, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
79 Mendeley
Title
A soft stretchable bending sensor and data glove applications
Published in
Robotics and Biomimetics, December 2016
DOI 10.1186/s40638-016-0051-1
Pubmed ID
Authors

Zhong Shen, Juan Yi, Xiaodong Li, Mark Hin Pei Lo, Michael Z. Q. Chen, Yong Hu, Zheng Wang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 19%
Student > Master 13 16%
Student > Bachelor 12 15%
Student > Doctoral Student 5 6%
Researcher 5 6%
Other 6 8%
Unknown 23 29%
Readers by discipline Count As %
Engineering 28 35%
Computer Science 7 9%
Chemistry 4 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Design 2 3%
Other 7 9%
Unknown 29 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 30 December 2020.
All research outputs
#3,348,084
of 23,205,257 outputs
Outputs from Robotics and Biomimetics
#1
of 39 outputs
Outputs of similar age
#68,224
of 418,229 outputs
Outputs of similar age from Robotics and Biomimetics
#1
of 2 outputs
Altmetric has tracked 23,205,257 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 39 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 38 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 418,229 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 2 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