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Psychophysiological Arousal in Young Children Who Stutter

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies(2022)10.1145/3550326Source: DataRank Database

Psychophysiological Arousal in Young Children Who Stutter is a research paper published in Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2022). On theSindex it has a DataRank of 0. It has been cited 7 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 1.30)OA: bronzeTopics (34)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Yi Xiao ORCID,Victoria Tumanova ORCID,Asif Salekin ORCID,Harshit Sharma ORCID

Live enrichment

PubMed:37122815 PMC:PMC10138305 OpenAlex:https://openalex.org/W4292438032

National Institutes of Health

Grant: R21DC018103

National Science Foundation

Grant: 2124285

Collaborative Research: SCH: Psychophysiological Sensing to Enhance Mindfulness-Based Interventions for Self-Regulation of Opioid Cravings

NIDCD NIH HHS

Grant: R01 DC017476

National Institutes of Health

Grant: 5R01DC017476-05

Biofeedback-Enhanced Treatment for Speech Sound Disorder: Randomized Controlled Trial and Delineation of Sensorimotor Subtypes

National Institutes of Health

Grant: 5R21DC018103-02

The influence of contextual and constitutional emotional processes on speech motor control and speech motor learning in early childhood stuttering

FWCI

1.30

Citation Percentile

0.8%

Citation Trend

2023

2024

2025

bronzeLicense: ACM Copyright Policies

journalhttps://dl.acm.org/doi/pdf/10.1145/3550326

publisherhttps://dl.acm.org/doi/pdf/10.1145/3550326

publisherhttps://dl.acm.org/doi/10.1145/3550326

journalhttps://doi.org/10.1145/3550326

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37122815

Fields of Study

Stuttering Research and TreatmentEEG and Brain-Computer InterfacesNeurobiology of Language and Bilingualism03 medical and health sciences0302 clinical medicine0305 other medical science

Keywords

ArousalPsychologyAudiologyStutteringDevelopmental psychologyCognitive psychologyMedicineNeuroscienceSensorsMachine LearningAffective ComputingMultiple Instance LearningDeep LearningMulti-modal FusionChildren Who StutterExplainable AiArousal DetectionAdditional Key Words And Phrases:Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningJ.4I.2.6FOS: Electrical engineering, electronic engineering, information engineeringI.2.6; J.4Electrical Engineering and Systems Science - Signal ProcessingArticleMachine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Quality Education