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Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.02.09.430269Source: DataRank Database

Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19 is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0.406. It has been cited 14 times.

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0.406DataRank · unranked

Scored on demand from live citation data

Open Access14 citations

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Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19 · Dryad

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (17 grants)OA: greenTopics (4)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

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Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.406

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (38)

Julien Hédou ORCID,Joshua Gillard ORCID,Han Chen ORCID,Eileen S. Tsai ORCID,Laura S. Peterson ORCID

Live enrichment

PubMed:33594362

National Institutes of Health

Grant: 5U19AI100627-09

Systems Approach to Immunity and Inflammation

National Institutes of Health

Grant: 3U54CA260517-02S2

Mechanisms and Duration of Immunity to SARS-CoV-2

National Institutes of Health

Grant: 5R35GM137936-05

Harnessing the human monocyte system to improve surgical recovery

National Institutes of Health

Grant: 5R35GM138353-03

Machine Learning for Integrative Modeling of the Immune System in Clinical Settings

National Institutes of Health

Grant: 2T32GM089626-11

Research in Anesthesia Training Program (ReAP)

National Institutes of Health

Grant: 3U19AI057229-18S1

Influenza responses and repertoire in vaccination, infection and tonsil organoids.

NIAID NIH HHS

Grant: U19 AI057229

NCI NIH HHS

Grant: HHSN261201500003C

NIGMS NIH HHS

Grant: R35 GM138353

NCI NIH HHS

Grant: HHSN261201500003I

NIGMS NIH HHS

Grant: T32 GM089626

NIGMS NIH HHS

Grant: R35 GM137936

Doris Duke Charitable Foundation

Grant: 2018100

NIGMS NIH HHS

Grant: R01 GM130900

NCI NIH HHS

Grant: U54 CA260517

NIAID NIH HHS

Grant: K23 AI146268

NIAID NIH HHS

Grant: U19 AI100627

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/02/12/2021.02.09.430269.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.02.09.430269

repositoryhttps://scholarlycommons.pacific.edu/dugoni-facarticles/730

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7885914

repositoryhttps://zenodo.org/record/7045902

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Article

Sustainable Development Goals

SDG 3: 3. Good health

Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19

10.5061/dryad.9cnp5hqmnDryad