In search of the most reproducible neural vulnerability factors that predict future weight gain: analyses of data from six prospective studies is a dataset published in Social Cognitive and Affective Neuroscience (2021). On theSindex it has a DataRank of 0.566, placing it in the top 34.6% of the data-sharing corpus. It has been cited 13 times, with 7 citing works in its 1-hop citation network.
Ranks in the top 35% for downstream scientific impact
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
0.396
From this paper's citation signal
Citation Network Contribution
0.170
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
National Institute of Mental Health
Grant: R1 MH64560A
National Institutes of Health
Grant: R01 DK112762 and R01 DK102532
National Institute of Diabetes and Digestive and Kidney Diseases
Grant: R01 DK080760
NIDDK NIH HHS
Grant: R01 DK112762
NIMH NIH HHS
Grant: R01 MH064560
NIDDK NIH HHS
Grant: R01 DK102532
FWCI
1.58
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals