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MUNDUS project: MUltimodal Neuroprosthesis for daily Upper limb Support

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, July 2013
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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)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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4 X users
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9 patents

Citations

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118 Dimensions

Readers on

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381 Mendeley
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1 CiteULike
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Title
MUNDUS project: MUltimodal Neuroprosthesis for daily Upper limb Support
Published in
Journal of NeuroEngineering and Rehabilitation, July 2013
DOI 10.1186/1743-0003-10-66
Pubmed ID
Authors

Alessandra Pedrocchi, Simona Ferrante, Emilia Ambrosini, Marta Gandolla, Claudia Casellato, Thomas Schauer, Christian Klauer, Javier Pascual, Carmen Vidaurre, Margit Gföhler, Werner Reichenfelser, Jakob Karner, Silvestro Micera, Andrea Crema, Franco Molteni, Mauro Rossini, Giovanna Palumbo, Eleonora Guanziroli, Andreas Jedlitschka, Marco Hack, Maria Bulgheroni, Enrico d’Amico, Peter Schenk, Sven Zwicker, Alexander Duschau-Wicke, Justinas Miseikis, Lina Graber, Giancarlo Ferrigno

Abstract

MUNDUS is an assistive framework for recovering direct interaction capability of severely motor impaired people based on arm reaching and hand functions. It aims at achieving personalization, modularity and maximization of the user's direct involvement in assistive systems. To this, MUNDUS exploits any residual control of the end-user and can be adapted to the level of severity or to the progression of the disease allowing the user to voluntarily interact with the environment. MUNDUS target pathologies are high-level spinal cord injury (SCI) and neurodegenerative and genetic neuromuscular diseases, such as amyotrophic lateral sclerosis, Friedreich ataxia, and multiple sclerosis (MS). The system can be alternatively driven by residual voluntary muscular activation, head/eye motion, and brain signals. MUNDUS modularly combines an antigravity lightweight and non-cumbersome exoskeleton, closed-loop controlled Neuromuscular Electrical Stimulation for arm and hand motion, and potentially a motorized hand orthosis, for grasping interactive objects.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Austria 1 <1%
Brazil 1 <1%
Canada 1 <1%
Unknown 375 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 82 22%
Student > Master 62 16%
Researcher 44 12%
Student > Bachelor 38 10%
Student > Doctoral Student 15 4%
Other 54 14%
Unknown 86 23%
Readers by discipline Count As %
Engineering 148 39%
Medicine and Dentistry 33 9%
Nursing and Health Professions 30 8%
Neuroscience 12 3%
Psychology 11 3%
Other 47 12%
Unknown 100 26%
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 06 February 2024.
All research outputs
#4,139,804
of 25,374,917 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#211
of 1,413 outputs
Outputs of similar age
#33,573
of 206,393 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#4
of 43 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 84% 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 206,393 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 43 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.