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

Detection of low-density Plasmodium falciparum infections using amplicon deep sequencing

10.1101/453472Source: DataRank Database

Detection of low-density Plasmodium falciparum infections using amplicon deep sequencing is a research paper. On theSindex it has a DataRank of 0.104. It has been cited 1 time.

N/A

0.104DataRank · unranked

Scored on demand from live citation data

1 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 (2 grants)OA: greenTopics (34)IDs (PubMed, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

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.

DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Authors (8)

Rachel F. Daniels ORCID,Timothy M. Farrell ORCID,Jonna Grimsby ORCID,Sarah K. Volkman ORCID,Dyann F. Wirth ORCID

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W3099221871

National Institutes of Health

Grant: 2U19AI110818-06

Advancing Genomic Technologies to Combat Infectious Disease: Mapping Dynamics within Single Cells, Individual Hosts, and Global Populations

National Institutes of Health

Grant: 5U19AI110818-02

Genomic Center for Infectious Disease

greenLicense: cc-by-nc

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2019/02/19/453472.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/453472

repositoryhttps://doi.org/10.1101/453472

https://doi.org/10.1186/s12936-019-2856-1

Fields of Study

Malaria Research and ControlMosquito-borne diseases and controlHIV Research and Treatment0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

AmpliconBiologyDeep sequencingGenomePlasmodium falciparumAmplicon sequencingDNA sequencingGeneticsParasitemiaComputational biologyPolymerase chain reactionGeneMalariaImmunologyHaplotype callingRC955-962MethodologyHigh-Throughput Nucleotide SequencingInfectious and parasitic diseasesRC109-216Within-host diversitySensitivity and SpecificityTargeted amplicon deep sequencingMultiplicity of infectionMolecular epidemiologyArctic medicine. Tropical medicineMulticlonal infectionMalaria, Falciparum

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

Detection of low-density Plasmodium falciparum infections using amplicon deep sequencing

FAIR Checklist

DataRank Breakdown

Authors (8)

Funding (2 grants)

Open Access

Topics