The structural differences between patient-derived α-synuclein strains dictate characteristics of Parkinson’s disease, multiple system atrophy and dementia with Lewy bodies is a research paper published in Acta Neuropathologica (2020). On theSindex it has a DataRank of 7.0. It has been cited 295 times, with 200 citing works in its 1-hop citation network.
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
0.854
From this paper's citation signal
Citation Network Contribution
6.1
From 197 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 200 citers.
Fonds Wetenschappelijk Onderzoek
Grant: G.0927.14
Fonds Wetenschappelijk Onderzoek
Grant: G080517N
Fonds Wetenschappelijk Onderzoek
Grant: 12K0216N
JPND
Grant: SYNACTION-ANR-15-JPWG-0012-03
Fondation Recherche Médicale
Grant: 20160334896
EC Joint Programme on Neurodegenerative Diseases TransPathND
Grant: ANR-17-JPCD-0002-02
EFPIA Innovative Medicines Initiative 2
Grant: IMPRiND grant agreement No 116060
King Baudouin Foundation
Grant: Fund Sophia
European Commission
Grant: 116060
Inhibiting Misfolded protein PRopagation in Neurodegenerative Diseases - Sofia ref.: 116060
European Commission
Grant: 643417
ERA-NET for establishing synergies between the Joint Programming on Neurodegenerative Diseases Research and Horizon 2020
French National Research Agency (ANR)
Grant: ANR-15-JPWG-0012
Unravelling the pathophysiological role of alpha-synuclein aggregation, transmission and neuroinflammation in neurodegeneration
French National Research Agency (ANR)
Grant: ANR-17-JPCD-0002
Intraneuronal transport-related pathways across neurodegenerative diseases
FWCI
14.15
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals