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Normative Scores for the NIH Toolbox Dynamic Visual Acuity Test from 3 to 85 Years

Overview of attention for article published in Frontiers in Neurology, October 2014
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Title
Normative Scores for the NIH Toolbox Dynamic Visual Acuity Test from 3 to 85 Years
Published in
Frontiers in Neurology, October 2014
DOI 10.3389/fneur.2014.00223
Pubmed ID
Authors

Carol Li, Jennifer L. Beaumont, Rose Marie Rine, Jerry Slotkin, Michael C. Schubert

Abstract

As part of the National Institutes of Health Toolbox initiative, a computerized test of dynamic visual acuity (cDVA) was developed and validated as an easy-to-administer, cost- and time-efficient test of vestibular and visual function. To establish normative reference values, 3,992 individuals, aged 3-85 years, without vestibular pathology underwent cDVA testing at multiple clinical research testing facilities across the United States. Test scores were stratified by sociodemographic characteristics. cDVA was worse in males (p < 0.001) and those subjects 50 years or older, while there was no difference in dynamic visual acuity across age groups binned from 3 to 49 years. Furthermore, we used these normative cDVA data as a criterion reference to compare both the long (validated) and short versions of the test. Both versions can distinguish between those with and without vestibular pathology (p = 0.0002 long; p = 0.0025 short). The intraclass correlation coefficient between long- and short-cDVA tests was 0.86.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Russia 1 2%
Unknown 56 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 19%
Researcher 10 17%
Student > Ph. D. Student 8 14%
Student > Doctoral Student 6 10%
Other 4 7%
Other 12 20%
Unknown 8 14%
Readers by discipline Count As %
Medicine and Dentistry 15 25%
Nursing and Health Professions 10 17%
Neuroscience 9 15%
Biochemistry, Genetics and Molecular Biology 3 5%
Psychology 3 5%
Other 11 19%
Unknown 8 14%
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 21 January 2015.
All research outputs
#15,308,698
of 22,768,097 outputs
Outputs from Frontiers in Neurology
#6,736
of 11,665 outputs
Outputs of similar age
#151,658
of 260,456 outputs
Outputs of similar age from Frontiers in Neurology
#52
of 86 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,665 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 39th percentile – i.e., 39% 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 260,456 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.