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

Beyond consensus sequence: a quantitative scheme for inferring transmission using deep sequencing in a bacterial transmission model

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.17.512634Source: DataRank Database

Beyond consensus sequence: a quantitative scheme for inferring transmission using deep sequencing in a bacterial transmission model is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). 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 (1 grants)OA: greenTopics (17)IDs (PubMed, OpenAlex)SDGs (1)

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 (14)

Hannah Read ORCID,Priyali Oza ORCID,Sarah H. Johnson ORCID,Hemanoel Passarelli‐Araujo ORCID,Bradford P. Taylor ORCID

Live enrichment

PubMed:19022398 OpenAlex:https://openalex.org/W4306965223

National Institutes of Health

Grant: 5R01AI128344-05

Deep sequencing of pathogens to precisely define transmission networks using rare variants

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/10/20/2022.10.17.512634.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.10.17.512634

repositoryhttps://doi.org/10.1101/2022.10.17.512634

https://doi.org/10.21203/rs.3.rs-2228167/v1

Fields of Study

Microbial infections and disease researchEvolution and Genetic DynamicsVibrio bacteria research studies0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Transmission (telecommunications)BiologyInferenceComputational biologyContext (archaeology)GeneticsHost (biology)Contact tracingEvolutionary biologyComputer scienceArtificial intelligence

Sustainable Development Goals

SDG 0: Good health and well-being