Using electronic medical records to understand the impact of SARS-CoV-2 lockdown measures on maternal and neonatal outcomes in Kampala, Uganda is a dataset published in PLOS Global Public Health (2023). On theSindex it has a DataRank of 0.237, placing it in the top 61.4% of the data-sharing corpus. It has been cited 3 times, with 3 citing works in its 1-hop citation network.
Ranks in the top 61% 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
0.208
From this paper's citation signal
Citation Network Contribution
0.0295
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 3 citers.
Health Data Research, UK
Grant: 2021.0096
National Institutes of Health’s Fogarty International Center
Grant: D43TW012275
National Institutes of Health
Grant: 1D43TW012275-01
Addressing the Research Capacity Gap in Global Child and Adolescent Health Disparities Utilizing Implementation and Data Sciences among Vulnerable Populations in Resource-limited Settings (ACHIEVE)
FWCI
0.76
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals