MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification is a dataset published in Proceedings of the AAAI Conference on Artificial Intelligence (2021). On theSindex it has a DataRank of 1.1, placing it in the top 18.2% of the data-sharing corpus. It has been cited 18 times, with 18 citing works in its 1-hop citation network.
Ranks in the top 18% 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
0.442
From this paper's citation signal
Citation Network Contribution
0.680
From 16 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 18 citers.