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What can fMRI tell us about functional variability in the oculomotor system and saccade performance?

Overview of attention for article published in Journal of Neurophysiology, January 2012
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Article details
Title
What can fMRI tell us about functional variability in the oculomotor system and saccade performance?
Published in
Journal of Neurophysiology, January 2012
DOI 10.1152/jn.00724.2011
Pubmed ID
Authors
Abstract

Eye movement behavior is variable, and the brain's oculomotor circuitry may not always function consistently. In a recent fMRI study, Ozyurt and Greenlee (2011) correlated the activation strength of cortical and striatal brain regions with inter- and intraindividual variability in saccade performance. We discuss the design and implications of this study with regard to the differences between inter- and intraindividual variability, and the link between the BOLD signal and oculomotor activity.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 5%
Canada 1 5%
Australia 1 5%
Unknown 18 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 33%
Researcher 6 29%
Student > Master 3 14%
Other 1 5%
Professor 1 5%
Other 1 5%
Unknown 2 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 6 29%
Psychology 6 29%
Neuroscience 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Nursing and Health Professions 1 5%
Other 1 5%
Unknown 4 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 July 2018.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Journal of Neurophysiology
#5,234
of 8,423 outputs
Outputs of similar age
#171,893
of 251,545 outputs
Outputs of similar age from Journal of Neurophysiology
#26
of 71 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,423 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 251,545 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.