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Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, January 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
23 Mendeley
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Title
Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation
Published in
Journal of NeuroEngineering and Rehabilitation, January 2023
DOI 10.1186/s12984-023-01127-6
Pubmed ID
Authors

Floriana Pichiorri, Jlenia Toppi, Valeria de Seta, Emma Colamarino, Marcella Masciullo, Federica Tamburella, Matteo Lorusso, Febo Cincotti, Donatella Mattia

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 13%
Student > Master 3 13%
Unspecified 2 9%
Student > Doctoral Student 1 4%
Student > Ph. D. Student 1 4%
Other 3 13%
Unknown 10 43%
Readers by discipline Count As %
Medicine and Dentistry 3 13%
Engineering 3 13%
Unspecified 2 9%
Neuroscience 2 9%
Decision Sciences 1 4%
Other 1 4%
Unknown 11 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 June 2023.
All research outputs
#13,900,562
of 24,762,960 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#604
of 1,375 outputs
Outputs of similar age
#165,705
of 463,992 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#11
of 25 outputs
Altmetric has tracked 24,762,960 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,375 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 54% 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 463,992 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.