The efficacy of acoustic-based articulatory phenotyping for characterizing and classifying four divergent neurodegenerative diseases using sequential motion rates is a research paper published in Journal of Neural Transmission (2022). On theSindex it has a DataRank of 0.385. It has been cited 12 times.
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.385
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institute on Deafness and Other Communication Disorders
Grant: R01DC013547
National Institute on Deafness and Other Communication Disorders
Grant: 24DC016312
National Institute on Deafness and Other Communication Disorders
Grant: R01DC014296
National Institute on Deafness and Other Communication Disorders
Grant: F31DC019556
NIDCD NIH HHS
Grant: K24 DC016312
NIDCD NIH HHS
Grant: R21 DC019567
National Institutes of Health
Grant: 5R01DC014296-02
Imaging tau, amyloid, and neurodegeneration in PPA
National Institutes of Health
Grant: 1K24DC016312-01
Prolonging Functional Speech in Persons with Amyotrophic Lateral Sclerosis: A Real-Time Virtual Vocal Tract
National Institutes of Health
Grant: 5R01DC013547-05
SPEECH MOVEMENT CLASSIFICATION FOR ASSESSING AND TREATING ALS
National Institutes of Health
Grant: 1F31DC019556-01
Exploring the validity of articulatory impairment phenotypes in speech motor disorders
FWCI
1.10
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals