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Investigation on the Cooperative Grasping Capabilities of Human Thumb and Index Finger

Overview of attention for article published in Frontiers in Neurorobotics, November 2019
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Title
Investigation on the Cooperative Grasping Capabilities of Human Thumb and Index Finger
Published in
Frontiers in Neurorobotics, November 2019
DOI 10.3389/fnbot.2019.00092
Pubmed ID
Authors

Xiaojing Chen, Zhiguo Li, Yuqing Wang, Jizhan Liu, Dezong Zhao

Abstract

The maximum cooperative grasping mass and diameter of the human thumb and index finger were investigated by 7560 grasp-release trials on various masses of solid cylinders and various sizes of rings. The maximum grasping mass of the participants’ thumbindex finger depended on gender, age and the sum of thumb-index finger lengths (P < 0.05), but not on the hand-used and ratio of index finger to thumb length (P > 0.05). The maximum grasping diameter of the participants’ thumb-index finger depended on the age, sum of thumb-index finger lengths and ratio of index finger to thumb length (P < 0.05), but not on the gender and hand-used (P > 0.05). There was a non-linear regression model for the dependence of the maximum grasping mass on gender, age and the sum of thumb-index finger lengths and another non-linear regression model for the dependence of the maximum grasping diameter on the age, sum of thumb-index finger lengths and ratio of index finger to thumb length. Two regression models were useful in the optimal size design of robotic hands intending to replicate thumb-index finger grasping ability. This research can help to define not only a reasonable grasp mass and size for a bionic robotic hand, but also the requirements for hand rehabilitation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Researcher 2 13%
Student > Doctoral Student 2 13%
Lecturer 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 6 38%
Readers by discipline Count As %
Engineering 3 19%
Unspecified 1 6%
Agricultural and Biological Sciences 1 6%
Economics, Econometrics and Finance 1 6%
Computer Science 1 6%
Other 2 13%
Unknown 7 44%
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 13 November 2019.
All research outputs
#19,013,042
of 24,226,848 outputs
Outputs from Frontiers in Neurorobotics
#544
of 953 outputs
Outputs of similar age
#262,853
of 369,740 outputs
Outputs of similar age from Frontiers in Neurorobotics
#18
of 27 outputs
Altmetric has tracked 24,226,848 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 953 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 35th percentile – i.e., 35% 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 369,740 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 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.