Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation is a dataset published in APL Materials (2013). On theSindex it has a DataRank of 8.6, placing it in the top 1.8% of the data-sharing corpus. It has been cited 12,829 times, with 100 citing works in its 1-hop citation network.
Ranks in the top 2% for downstream scientific impact
Linked data & code
- MD-0002: Frozen Materials Project benchmark slice of stable ternary oxides · Zenodo
- MD-0002: Frozen Materials Project benchmark slice of stable ternary oxides · Zenodo
- Additional file 1 of Classification of battery compounds using structure-free Mendeleev encodings · figshare
- Additional file 1 of Classification of battery compounds using structure-free Mendeleev encodings · figshare
- Additional file 2 of Classification of battery compounds using structure-free Mendeleev encodings · figshare
- Additional file 2 of Classification of battery compounds using structure-free Mendeleev encodings · figshare
- Additional file 3 of Classification of battery compounds using structure-free Mendeleev encodings · figshare
- Additional file 3 of Classification of battery compounds using structure-free Mendeleev encodings · figshare
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
›Methodology & internals
FAIR Checklist
Context only (not used in score)- Has DOI
- Indexed in repositories
- Open Access
- DataCite relations
- Linked datasets
- Dataset classification
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.
DataRank Breakdown
Base Score Contribution
1.4
From this paper's citation signal
Citation Network Contribution
7.2
From 100 citing papers with measurable signal
Top 5 citers driving the network score
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
- Lead-free germanium iodide perovskite materials for photovoltaic applicationsJournal of Materials Chemistry A20151,151 citations23 referencesContributes 0.306
- ELATE: an open-source online application for analysis and visualization of elastic tensorsJournal of Physics Condensed Matter20161,477 citations25 referencesContributes 0.292
- Reversible calcium alloying enables a practical room-temperature rechargeable calcium-ion battery with a high discharge voltageNature Chemistry20181,596 citations29 referencesContributes 0.254
- Alloy design for aircraft enginesNature Materials2016910 citations31 referencesContributes 0.220
- Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material PropertiesPhysical Review Letters20182,693 citations36 referencesContributes 0.219
Authors (12)
MD-0002: Frozen Materials Project benchmark slice of stable ternary oxides
MD-0002: Frozen Materials Project benchmark slice of stable ternary oxides
Additional file 1 of Classification of battery compounds using structure-free Mendeleev encodings
Additional file 1 of Classification of battery compounds using structure-free Mendeleev encodings
Additional file 2 of Classification of battery compounds using structure-free Mendeleev encodings
Additional file 2 of Classification of battery compounds using structure-free Mendeleev encodings
Additional file 3 of Classification of battery compounds using structure-free Mendeleev encodings
Additional file 3 of Classification of battery compounds using structure-free Mendeleev encodings