Predictive Modeling of Alzheimer’s and Parkinson’s Disease Using Metabolomic and Lipidomic Profiles from Cerebrospinal Fluid is a research paper published in Metabolites (2022). On theSindex it has a DataRank of 0. It has been cited 22 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.
National Institutes of Health
Grant: P50 AG05136
National Institutes of Health
Grant: S10 OD021562
National Institutes of Health
Grant: R03 CA211160
National Institutes of Health
Grant: R01 AG057330
National Institutes of Health
Grant: P50 NS062684
National Institutes of Health
Grant: R01 NS119897
Mental Illness Research, Education and Clinical Centers
Grant: I01 CX001702
Mental Illness Research, Education and Clinical Centers
Grant: IK2 BX003244
NCATS NIH HHS
Grant: UL1 TR002369
NIA NIH HHS
Grant: P30 AG013280
National Institutes of Health
Grant: 1S10OD021562-01
Multiplexed UPLC-MS/MS System for Advanced Target Metabolomics
National Institutes of Health
Grant: 5P50AG005136-21
ALZHEIMERS DISEASE RESEARCH CENTER
National Institutes of Health
Grant: 1P50NS062684-01A1
Pacific Northwest Udall Center
National Institutes of Health
Grant: 1R03CA211160-01
Multi-group covariance estimation for metabolomic analysis with applications to neurodegenerative disease
National Institutes of Health
Grant: 5R01NS119897-04
Investigating the role of lipid metabolism in protein aggregation and neurodegenerative disease progression
FWCI
0.98
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals