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

Using a decision tree to predict the number of COVID cases: a tutorial for beginners

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.19.572463Source: DataRank Database

Using a decision tree to predict the number of COVID cases: a tutorial for beginners is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Download PDF

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 (4 grants)OA: greenTopics (21)IDs (PubMed, OpenAlex)SDGs (2)

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.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (8)

Lorena Benitez Rivera,Florentine van Nouhuijs,Faye Orcales ORCID,Allen Kim ORCID,Ross Campbell ORCID

Live enrichment

PubMed:38187735 OpenAlex:https://openalex.org/W4389985355

National Institutes of Health

Grant: 3T32GM142515-01S1

SFSU/UCSF M.S. Bridges to the Doctorate Program: cloud-based learning modules supplement

National Institutes of Health

Grant: 5T34GM008574-25

Maximizing Access to Research Careers Undergraduate - Student Training in Academic Research (MARC U-STAR)

NIGMS NIH HHS

Grant: T32 GM142515

NIGMS NIH HHS

Grant: T34 GM008574

greenLicense: cc-by-nc

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/05/09/2023.12.19.572463.full.pdf

GREENhttps://www.biorxiv.org/content/biorxiv/early/2024/05/09/2023.12.19.572463.full.pdf

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/05/09/2023.12.19.572463.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.12.19.572463

repositoryhttp://dx.doi.org/10.1101/2023.12.19.572463

Fields of Study

Artificial Intelligence in HealthcareCOVID-19 diagnosis using AIMachine Learning in HealthcareBiologyMedicineComputer Science0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Coronavirus disease 2019 (COVID-19)Decision treeSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computer science2019-20 coronavirus outbreakTree (set theory)Artificial intelligenceMathematicsVirologyMedicineCombinatoricsOutbreakInfectious disease (medical specialty)

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Industry, innovation and infrastructure