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Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104306Source: DataRank Database

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record? is a research paper published in Journal of Biomedical Informatics (2023). On theSindex it has a DataRank of 0.510. It has been cited 29 times.

N/A

0.510DataRank · unranked

Scored on demand from live citation data

Open Access29 citations

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 (24 grants)Impact (FWCI 4.03)OA: greenTopics (27)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.510

From this paper's citation signal

Citation Network Contribution

0

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.

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Authors (39)

Emily Getzen ORCID,Meghan R. Hutch ORCID,Zachary H. Strasser ORCID,Alba Gutiérrez‐Sacristán ORCID,Trang T. Le ORCID

Live enrichment

PubMed:36738870 PMC:PMC10849195 OpenAlex:https://openalex.org/W4318940495

National Institutes of Health

Grant: T32HD040128

U.S. National Library of Medicine

Grant: R00LM012926

U.S. National Library of Medicine

Grant: R01LM013337

U.S. National Library of Medicine

Grant: R01LM013345

National Center for Advancing Translational Sciences

Grant: UL1-TR001878

National Center for Advancing Translational Sciences

Grant: UL1TR000005

National Center for Advancing Translational Sciences

Grant: UL1TR001857

National Center for Advancing Translational Sciences

Grant: UL1TR002240

National Center for Advancing Translational Sciences

Grant: UL1TR002366

National Center for Advancing Translational Sciences

Grant: UL1TR002541

National Human Genome Research Institute

Grant: 3U01HG008685-05S2

National Human Genome Research Institute

Grant: 5R01HG009174-04

National Human Genome Research Institute

Grant: P30ES017885

National Human Genome Research Institute

Grant: U24CA210967

National Institute of General Medical Sciences

Grant: R01GM124111

National Institute of Neurological Disorders and Stroke

Grant: R01NS098023

National Institute of Neurological Disorders and Stroke

Grant: R01NS124882

National Institute on Aging

Grant: RF1AG063481

National Heart, Lung, and Blood Institute

Grant: U24 HL148865

NHLBI NIH HHS

Grant: L40 HL148910

NHGRI NIH HHS

Grant: R01 HG009174

NHGRI NIH HHS

Grant: U01 HG008685

NCATS NIH HHS

Grant: UL1 TR001878

NCATS NIH HHS

Grant: UM1 TR004404

FWCI

4.03

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

2026

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10849195/pdf/nihms-1881395.pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10849195/pdf/nihms-1881395.pdf

publisherhttps://api.elsevier.com/content/article/PII:S1532046423000278?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1532046423000278?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10849195

Fields of Study

Clinical Laboratory Practices and Quality ControlSARS-CoV-2 detection and testingBacterial Identification and Susceptibility TestingHumansElectronic Health RecordsCOVID-19Data CollectionRecordsCluster Analysis

MeSH Terms

COVID-19Data CollectionHumansRecordsCluster AnalysisElectronic Health Records

Keywords

Missing dataData collectionComputer scienceStatisticsData miningData scienceMachine learningMathematicsLaboratory TestsElectronic Health RecordsCovid-19Multi-site Health Data

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