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Data Integration for the Study of Outstanding Productivity in Biomedical Research

Procedia Computer Science(2022)10.1016/j.procs.2022.10.191Source: DataRank Database

Data Integration for the Study of Outstanding Productivity in Biomedical Research is a research paper published in Procedia Computer Science (2022). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: goldTopics (11)IDs (PubMed, PMC)

FAIR Checklist

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Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

E. Andrew Balas ORCID,Tiffany G. Townsend ORCID,Noah Sleeper,C.J. Tran ORCID,Clément Aubert ORCID

Live enrichment

PubMed:37538342 PMC:PMC10399210

NIGMS NIH HHS

Grant: R01 GM146338

National Institutes of Health

Grant: 1R01GM146338-01

SCISIPBIO: Distinguishing practices of outstanding productivity and expansion in biomedical research

National Institute of General Medical Sciences

NIH

goldLicense: cc-by

publisherhttps://www.sciencedirect.com/science/article/pii/S1877050922016568/pdf

publisherhttps://api.elsevier.com/content/article/PII:S1877050922016568?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1877050922016568?httpAccept=text/plain

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10399210/pdf/nihms-1917191.pdf

repositoryhttp://hdl.handle.net/11366/1987

Fields of Study

03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Biomedical ResearchResearch EvaluationScientific PerformanceMatching Of Research Databasesresearch performanceresearch information managementArticle