Assay Data Quality

Assay Data Quality is a technical assessment criterion within the domain of mineral resource reporting that evaluates the accuracy, precision, and reliability of analytical measurements derived from sample testing to ensure compliance with established industry standards.

101

Publications

13.2K

Citations

531

Authors

255

Institutions

Publications per year

2017–2026

17

Authors

531

  1. MT
    Michael Thompson

    Birkbeck, University of London, United Kingdom

    4 publications · 178 citations

    4

    h-index

  2. PJ
    Philip J. Potts

    The Open University, United Kingdom

    3 publications · 79 citations

    3

    h-index

  3. HG
    Hanspeter Gubler

    Novartis (Switzerland), Switzerland

    3 publications · 155 citations

    3

    h-index

  4. AT
    Andrew Taylor

    University of Surrey, United Kingdom

    3 publications · 87 citations

    3

    h-index

  5. JS
    Jean S. Kane

    Kaneka (United States), United States

    3 publications · 79 citations

    3

    h-index

1–5 of 531

Venues

  1. SLAS DISCOVERY

    7 publications · 7.3K citations

    7

    h-index

  2. Clinical Chemistry

    5 publications · 218 citations

    5

    h-index

  3. Geostandards and Geoanalytical Research

    5 publications · 125 citations

    5

    h-index

  4. 3

    h-index

  5. 3

    h-index

1–5