🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge
Demo corpus. Scores are computed on a select set of biomedical paper/datasets and may be inaccurate for papers outside this corpus — DataRank relies on network effects that improve with scale. We aim to expand this into a fully open resource pending additional funding.

GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

SoftwareX(2015)10.1016/j.softx.2015.06.001Source: DataRank Database
Top 2%
15.2DataRank
15.2Top 2%
Open Access
25997 citations · base score 10.2
datarank_citation_only_1hop_v4Methodology
Data sources & pipeline
Pipeline:CrossRefSciBERTdoi-metadataOpenAlexDataRank
Enrichment:Pending
FAIR ChecklistContext only (not used in score)
FFindable
Has DOI
AAccessible
Open Access
IInteroperable
RReusable

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

DataRank Breakdown

Base Component 10%Network Component 90%

Base Score Contribution

1.5

From this paper's citation signal

Citation Network Contribution

13.7

From 195 citing papers with measurable signal

Learn more about DataRank methodology →

Authors (8)

Teemu Murtola,Roland SchulzORCID,Szilárd PállORCID,Jeremy C. SmithORCID,Berk HessORCID

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