Accounting for motion in resting-state fMRI: What part of the spectrum are we characterizing in autism spectrum disorder? is a research paper published in NeuroImage (2022). On theSindex it has a DataRank of 0.584. It has been cited 48 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.584
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 of Biomedical Imaging and Bioengineering
Grant: P41 EB015909
Eunice Kennedy Shriver National Institute of Child Health and Human Development
Grant: U54 HD079123
National Institutes of Health
Grant: 1S10OD021648
National Institute of Mental Health
Grant: K01 MH109766
National Institute of Mental Health
Grant: K23 MH101322-05
National Institute of Mental Health
Grant: K23 MH107734-05
National Institute of Mental Health
Grant: R01 MH078160
National Institute of Mental Health
Grant: R01 MH085328
National Institute of Mental Health
Grant: R01 MH106564-03
National Heart, Lung, and Blood Institute
Grant: R01 HL137808
National Institute of Neurological Disorders and Stroke
Grant: R01 NS048527
National Institute of Neurological Disorders and Stroke
Grant: R01 NS096207-05
National Institutes of Health
Grant: 5R01NS048527-08
Motor Skill Learning in Autism
National Institutes of Health
Grant: 1R01NS096207-01
GABAergic Sensorimotor Dysfunction in Tourette Syndrome
National Institutes of Health
Grant: 3R01MH085328-13S1
Adolescent Changes in Brain and Behavior in Boys and Girls with ADHD
National Institutes of Health
Grant: 1S10OD021648-01
State of the Art 3T Research Scanner
National Institutes of Health
Grant: 5R01HL137808-05
Statistical Methods for Incorporating Machine Learning Tools in Inference and Large-Scale Surveillance using Electronic Medical Records Data
National Institutes of Health
Grant: 3U54HD079123-05S2
Development of Executive Function Measures for Clinical Trials in Down Syndrome
National Institutes of Health
Grant: 5R01MH106564-02
Somatosensory Inhibitory Dysfunction in Autism Spectrum Disorder.
National Institutes of Health
Grant: 3P41EB015909-18S1
Resource for Quantitative Functional MRI
National Institutes of Health
Grant: 1K01MH109766-01
Visual-Motor Development in Infants at High Risk for Autism
Wellcome Trust
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5R01MH078160-14
2/2 - Anomalous Motor System Physiology in ADHD: Biomarker Validation and Modeling Domains of Function
National Institutes of Health
Grant: 5K23MH107734-02
Neurobehavioral Correlates of Frustration in Children with ADHD
National Institutes of Health
Grant: 5K23MH101322-02
Delay Discounting in Children with ADHD: Neuroimaging and Behavioral Correlates
FWCI
3.83
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals