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

COVID-19 disease—Temporal analyses of complete blood count parameters over course of illness, and relationship to patient demographics and management outcomes in survivors and non-survivors: A longitudinal descriptive cohort study

PLoS ONE(2020)10.1371/journal.pone.0244129Source: DataRank Database

COVID-19 disease—Temporal analyses of complete blood count parameters over course of illness, and relationship to patient demographics and management outcomes in survivors and non-survivors: A longitudinal descriptive cohort study is a research paper published in PLoS ONE (2020). On theSindex it has a DataRank of 0. It has been cited 66 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access66 citations

Download PDF

Cite:

Linked data & code

doi

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)Impact (FWCI 4.19)OA: goldTopics (55)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (24)

Chiara Montaldo ORCID,Emanuele Nicastri ORCID,Francesco Vairo ORCID,Chiara Agrati ORCID,Nicola Petrosillo ORCID

Live enrichment

PubMed:33370366 PMC:PMC7769441 OpenAlex:https://openalex.org/W3112441150

Ministry of Health and Welfare

Grant: Progetto COVID 2020 12371675

National Institute for Health Research (NIHR)

Grant: NF-SI-0616-10016

FWCI

4.19

Citation Percentile

1.0%

Citation Trend

2021

2022

2023

2024

2025

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0244129&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0244129&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0244129

journalhttps://doi.org/10.1371/journal.pone.0244129

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33370366

Fields of Study

Inflammatory Biomarkers in Disease PrognosisCOVID-19 Clinical Research StudiesHematological disorders and diagnosticsBiomarkersBlood Cell CountCOVID-19Cohort StudiesDemographyErythrocyte IndicesFemaleHumansInflammationLeukocyte CountLongitudinal StudiesLymphocytesMaleMean Platelet VolumeMiddle AgedNeutrophilsPrognosisRomeSurvivors

MeSH Terms

COVID-19Blood Cell CountDemographyErythrocyte IndicesFemaleHumansInflammationLeukocyte CountLongitudinal StudiesLymphocytesMaleMiddle AgedNeutrophilsPrognosisRomeCohort StudiesBiomarkersSurvivorsMean Platelet Volume

Keywords

DemographicsCoronavirus disease 2019 (COVID-19)MedicineCohortCohort studyLongitudinal studyDiseasePandemicDisease managementGerontologyDemographyInternal medicineInfectious disease (medical specialty)Pathology

Sustainable Development Goals

SDG 0: Good health and well-being

COVID-19 disease—Temporal analyses of complete blood count parameters over course of illness, and relationship to patient demographics and management outcomes in survivors and non-survivors: A longitudinal descriptive cohort study

FAIR Checklist

Authors (24)

Funding (2 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)