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Complex Upper-Limb Movements Are Generated by Combining Motor Primitives that Scale with the Movement Size

Overview of attention for article published in Scientific Reports, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 news outlet
blogs
1 blog
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15 X users

Citations

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32 Dimensions

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78 Mendeley
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Title
Complex Upper-Limb Movements Are Generated by Combining Motor Primitives that Scale with the Movement Size
Published in
Scientific Reports, August 2018
DOI 10.1038/s41598-018-29470-y
Pubmed ID
Authors

Jose Garcia Vivas Miranda, Jean-François Daneault, Gloria Vergara-Diaz, Ângelo Frederico Souza de Oliveira e Torres, Ana Paula Quixadá, Marcus de Lemos Fonseca, João Paulo Bomfim Cruz Vieira, Vitor Sotero dos Santos, Thiago Cruz da Figueiredo, Elen Beatriz Pinto, Norberto Peña, Paolo Bonato

Abstract

The hand trajectory of motion during the performance of one-dimensional point-to-point movements has been shown to be marked by motor primitives with a bell-shaped velocity profile. Researchers have investigated if motor primitives with the same shape mark also complex upper-limb movements. They have done so by analyzing the magnitude of the hand trajectory velocity vector. This approach has failed to identify motor primitives with a bell-shaped velocity profile as the basic elements underlying the generation of complex upper-limb movements. In this study, we examined upper-limb movements by analyzing instead the movement components defined according to a Cartesian coordinate system with axes oriented in the medio-lateral, antero-posterior, and vertical directions. To our surprise, we found out that a broad set of complex upper-limb movements can be modeled as a combination of motor primitives with a bell-shaped velocity profile defined according to the axes of the above-defined coordinate system. Most notably, we discovered that these motor primitives scale with the size of movement according to a power law. These results provide a novel key to the interpretation of brain and muscle synergy studies suggesting that human subjects use a scale-invariant encoding of movement patterns when performing upper-limb movements.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 24%
Researcher 12 15%
Student > Master 9 12%
Student > Bachelor 8 10%
Student > Postgraduate 5 6%
Other 9 12%
Unknown 16 21%
Readers by discipline Count As %
Engineering 23 29%
Neuroscience 9 12%
Medicine and Dentistry 7 9%
Computer Science 4 5%
Psychology 3 4%
Other 8 10%
Unknown 24 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 26 February 2019.
All research outputs
#1,302,259
of 23,102,082 outputs
Outputs from Scientific Reports
#12,764
of 124,866 outputs
Outputs of similar age
#29,645
of 334,958 outputs
Outputs of similar age from Scientific Reports
#358
of 3,594 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 124,866 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 89% 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 334,958 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 3,594 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.