Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

[old working paper] iCatcher+: Please see abstract for link to more up to date version

PsyArXiv (OSF Preprints)(2021)10.31234/osf.io/s8c4mSource: DataRank Database

[old working paper] iCatcher+: Please see abstract for link to more up to date version is a research paper published in PsyArXiv (OSF Preprints) (2021). On theSindex it has a DataRank of 0. It has been cited 3 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access3 citations

Free full text

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)OA: goldTopics (7)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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

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Authors (4)

Xincheng Tan ORCID,Kimberly Scott,Shari Liu ORCID,Peng Cao ORCID

Live enrichment

PubMed:19910364 OpenAlex:https://openalex.org/W4210557995

National Institutes of Health

Grant: 1F32HD103363-01

Neural foundations of learning, reasoning, and surprise in human infants

goldLicense: cc-by

https://psyarxiv.com/s8c4m/download

https://doi.org/10.31234/osf.io/s8c4m

repositoryhttp://doi.org/10.31234/OSF.IO/S8C4M

repositoryhttps://osf.io/s8c4m

Fields of Study

Machine Learning in Healthcare05 social sciences0501 psychology and cognitive sciences

Keywords

ConfusionLink (geometry)Computer sciencePsychology