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Deep phenotyping of 34,128 patients hospitalised with COVID-19 and a comparison with 81,596 influenza patients in America, Europe and Asia: an international network study

medRxiv(2020)10.1101/2020.04.22.20074336Source: DataRank Database

Deep phenotyping of 34,128 patients hospitalised with COVID-19 and a comparison with 81,596 influenza patients in America, Europe and Asia: an international network study is a dataset published in medRxiv (2020). On theSindex it has a DataRank of 2.5, placing it in the top 8.7% of the data-sharing corpus. It has been cited 48 times, with 37 citing works in its 1-hop citation network.

Top 9%percentile

2.5DataRank

Ranks in the top 9% for downstream scientific impact

Data paper Open Access48 citations · 37 citing works in its network

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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 (15)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 (1/3)

Dataset classification

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DataRank Breakdown

Base Score 24%Citation Network 76%

Base Score Contribution

0.584

From this paper's citation signal

Citation Network Contribution

1.9

From 28 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 37 citers.

Information and rational decision-making: explanations to patients and citizens about personal risk of COVID-19
BMJ evidence-based medicine202011 citations8 referencesContributes 0.311
Comparison of the characteristics, morbidity, and mortality of COVID-19 and seasonal influenza: a nationwide, population-based retrospective cohort study
The Lancet Respiratory Medicine2020619 citations36 referencesContributes 0.179
What Factors Increase the Risk of Complications in SARS-CoV-2–Infected Patients? A Cohort Study in a Nationwide Israeli Health Organization
JMIR Public Health and Surveillance202072 citations25 referencesContributes 0.172
What factors increase the risk of complications in SARS-CoV-2 positive patients? A cohort study in a nationwide Israeli health organization
medRxiv202019 citations21 referencesContributes 0.143
Prevalence of multiple risk factors for poor outcomes associated with COVID-19 among an elderly Australian population
Australian Journal of General Practice20217 citations15 referencesContributes 0.139

Authors (69)

Seng Chan You ORCID,Anthony G. Sena ORCID,Kristin Kostka ORCID,Hamed Abedtash ORCID,Maria Tereza Fernandes Abrahão ORCID

Live enrichment

PubMed:32511443 OpenAlex:https://openalex.org/W3018100255

Versus Arthritis

Grant: 21605

greenLicense: cc-by

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2020/06/28/2020.04.22.20074336.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.04.22.20074336

repositoryhttps://doi.org/10.1101/2020.04.22.20074336

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32511443

Fields of Study

COVID-19 Clinical Research StudiesChronic Obstructive Pulmonary Disease (COPD) ResearchCOVID-19 and healthcare impacts

Keywords

MedicineCoronavirus disease 2019 (COVID-19)DemographicsFamily medicinePandemicHealth careHealthcare systemDiabetes mellitusDiseaseDemographyInternal medicineInfectious disease (medical specialty)

Sustainable Development Goals

SDG 0: Good health and well-being