↓ Skip to main content

Two-legged hopping in autism spectrum disorders

Overview of attention for article published in Frontiers in Integrative Neuroscience, January 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Readers on

mendeley
64 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Two-legged hopping in autism spectrum disorders
Published in
Frontiers in Integrative Neuroscience, January 2013
DOI 10.3389/fnint.2013.00014
Pubmed ID
Authors

Matthew F. Moran, John T. Foley, Mary E. Parker, Michael J. Weiss

Abstract

Sensory processing deficits are common within autism spectrum disorders (ASD). Deficits have a heterogeneous dispersion across the spectrum and multimodal processing tasks are thought to magnify integration difficulties. Two-legged hopping in place in sync with an auditory cue (2.3, 3.0 Hz) was studied in a group of six individuals with expressive language impaired ASD (ELI-ASD) and an age-matched control group. Vertical ground reaction force data were collected and discrete Fourier transforms were utilized to determine dominant hopping cadence. Effective leg stiffness was computed through a mass-spring model representation. The ELI-ASD group were unsuccessful in matching their hopping cadence (2.21 ± 0.30 hops·s(-1), 2.35 ± 0.41 hops·s(-1)) to either auditory cue with greater deviations at the 3.0 Hz cue. In contrast, the control group was able to match hopping cadence (2.35 ± 0.06 hops·s(-1), 3.02 ± 0.10 hops·s(-1)) to either cue via an adjustment of effective leg stiffness. The ELI-ASD group demonstrated a varied response with an interquartile range (IQR) in excess of 0.5 hops·s(-1) as compared to the control group with an IQR < 0.03 hops·s(-1). Several sensorimotor mechanisms could explain the inability of participants with ELI-ASD to modulate motor output to match an external auditory cue. These results suggest that a multimodal gross motor task can (1) discriminate performance among a group of individuals with severe autism, and (2) could be a useful quantitative tool for evaluating motor performance in individuals with ASD individuals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 2%
Mexico 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 16%
Student > Bachelor 9 14%
Student > Ph. D. Student 8 13%
Student > Postgraduate 5 8%
Other 4 6%
Other 13 20%
Unknown 15 23%
Readers by discipline Count As %
Psychology 13 20%
Medicine and Dentistry 9 14%
Nursing and Health Professions 7 11%
Agricultural and Biological Sciences 4 6%
Neuroscience 4 6%
Other 10 16%
Unknown 17 27%
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 25 September 2023.
All research outputs
#8,605,982
of 25,550,333 outputs
Outputs from Frontiers in Integrative Neuroscience
#375
of 916 outputs
Outputs of similar age
#88,720
of 289,794 outputs
Outputs of similar age from Frontiers in Integrative Neuroscience
#54
of 90 outputs
Altmetric has tracked 25,550,333 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 916 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has gotten more attention than average, scoring higher than 57% 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 289,794 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.