Data-dependent Mass Correction

Data-Dependent Mass Correction is a computational method in mass spectrometry that dynamically adjusts mass measurements based on real-time analysis of acquired spectral data, distinguishing itself from static calibration approaches by incorporating conditional, context-sensitive corrections derived from precursor ion selection and acquisition parameters.

16

Publications

1.3K

Citations

44

Authors

16

Institutions

Publications per year

2017–2026

2

Authors

44

  1. RE
    Raymond E. March

    Trent University, Canada

    1 publications · 33 citations

    1

    h-index

  2. AS
    Alexander Scherl

    University of Geneva, Switzerland

    1 publications · 41 citations

    1

    h-index

  3. KL
    Kevin L. Crowell

    Pacific Northwest National Laboratory, United States

    1 publications · 37 citations

    1

    h-index

  4. AR
    A.R. Ramos

    University of Lisbon, Portugal

    1 publications · 14 citations

    1

    h-index

  5. GR
    G. R. Huss

    University of Hawaiʻi at Mānoa, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 44

Venues

  1. NERC Open Research Archive (Natural Environment Research Council)

    Repository · 1 publications · 27 citations

    1

    h-index

  2. Chemical Geology

    1 publications · 13 citations

    1

    h-index

  3. Atomic Data and Nuclear Data Tables

    1 publications · 305 citations

    1

    h-index

  4. Biotechnology and Bioengineering

    1 publications · 236 citations

    1

    h-index

  5. Biosensors and Bioelectronics

    1 publications · 369 citations

    1

    h-index

1–5