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The Intersection between Ocular and Manual Motor Control: Eye–Hand Coordination in Acquired Brain Injury

Overview of attention for article published in Frontiers in Neurology, June 2017
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
2 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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30 Dimensions

Readers on

mendeley
114 Mendeley
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Title
The Intersection between Ocular and Manual Motor Control: Eye–Hand Coordination in Acquired Brain Injury
Published in
Frontiers in Neurology, June 2017
DOI 10.3389/fneur.2017.00227
Pubmed ID
Authors

John-Ross Rizzo, Maryam Hosseini, Eric A. Wong, Wayne E. Mackey, James K. Fung, Edmond Ahdoot, Janet C. Rucker, Preeti Raghavan, Michael S. Landy, Todd E. Hudson

Abstract

Acute and chronic disease processes that lead to cerebral injury can often be clinically challenging diagnostically, prognostically, and therapeutically. Neurodegenerative processes are one such elusive diagnostic group, given their often diffuse and indolent nature, creating difficulties in pinpointing specific structural abnormalities that relate to functional limitations. A number of studies in recent years have focused on eye-hand coordination (EHC) in the setting of acquired brain injury (ABI), highlighting the important set of interconnected functions of the eye and hand and their relevance in neurological conditions. These experiments, which have concentrated on focal lesion-based models, have significantly improved our understanding of neurophysiology and underscored the sensitivity of biomarkers in acute and chronic neurological disease processes, especially when such biomarkers are combined synergistically. To better understand EHC and its connection with ABI, there is a need to clarify its definition and to delineate its neuroanatomical and computational underpinnings. Successful EHC relies on the complex feedback- and prediction-mediated relationship between the visual, ocular motor, and manual motor systems and takes advantage of finely orchestrated synergies between these systems in both the spatial and temporal domains. Interactions of this type are representative of functional sensorimotor control, and their disruption constitutes one of the most frequent deficits secondary to brain injury. The present review describes the visually mediated planning and control of eye movements, hand movements, and their coordination, with a particular focus on deficits that occur following neurovascular, neurotraumatic, and neurodegenerative conditions. Following this review, we also discuss potential future research directions, highlighting objective EHC as a sensitive biomarker complement within acute and chronic neurological disease processes.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 14%
Student > Bachelor 16 14%
Researcher 11 10%
Student > Master 10 9%
Student > Doctoral Student 6 5%
Other 24 21%
Unknown 31 27%
Readers by discipline Count As %
Neuroscience 16 14%
Medicine and Dentistry 15 13%
Psychology 13 11%
Sports and Recreations 7 6%
Nursing and Health Professions 5 4%
Other 21 18%
Unknown 37 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 September 2019.
All research outputs
#1,504,710
of 24,226,848 outputs
Outputs from Frontiers in Neurology
#533
of 13,253 outputs
Outputs of similar age
#30,086
of 320,333 outputs
Outputs of similar age from Frontiers in Neurology
#16
of 182 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,253 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 done particularly well, scoring higher than 95% 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 320,333 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 90% of its contemporaries.
We're also able to compare this research output to 182 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 91% of its contemporaries.