Data Completeness Metrics

Data Completeness Metrics is a quantitative assessment framework used in immunization record systems to measure the extent to which required data elements are present and fully populated within a given dataset, distinguishing it from other data quality metrics by focusing specifically on the absence or presence of mandated information fields.

22

Publications

1.2K

Citations

127

Authors

102

Institutions

Publications per year

2017–2026

8

Authors

127

  1. AP
    A. Parasurama

    University of Miami, United States

    1 publications · 84 citations

    1

    h-index

  2. LC
    Liesbeth C. de Wreede

    Leiden University Medical Center, Netherlands

    1 publications · 24 citations

    1

    h-index

  3. LS
    Lars S. Jermiin

    The University of Sydney, Australia

    1 publications · 76 citations

    1

    h-index

  4. EC
    E. Collins

    University of Manchester, United Kingdom

    1 publications · 26 citations

    1

    h-index

  5. MK
    Michelle Kenyon

    Pfizer (United States), United States

    1 publications · 24 citations

    1

    h-index

1–5 of 127

Venues

  1. PubMed

    Repository · 2 publications · 44 citations

    2

    h-index

  2. Paleobiology

    1 publications · 31 citations

    1

    h-index

  3. Palaeontology

    1 publications · 57 citations

    1

    h-index

  4. JMIR mhealth and uhealth

    1 publications · 26 citations

    1

    h-index

  5. Colorectal Disease

    CDI · 1 publications · 15 citations

    1

    h-index

1–5