Spectrum Quality Scoring

Spectrum Quality Scoring is a computational metric that evaluates the reliability of tandem mass spectra for accurate de novo peptide sequence inference by quantifying spectral features indicative of signal clarity, fragment ion coverage, and noise levels.

57

Publications

4.9K

Citations

306

Authors

129

Institutions

Publications per year

2017–2026

12

Authors

306

  1. AI
    Alexey I. Nesvizhskii

    University of Michigan, United States

    3 publications · 382 citations

    3

    h-index

  2. BM
    Bin Ma

    University of Waterloo, Canada

    3 publications · 102 citations

    3

    h-index

  3. FW
    Fang‐Xiang Wu

    University of Saskatchewan, Canada

    3 publications · 71 citations

    3

    h-index

  4. GG
    Guy G. Poirier

    Université Laval, Canada

    2 publications · 60 citations

    2

    h-index

  5. NT
    Nicola Ternette

    University of Oxford, United Kingdom

    2 publications · 188 citations

    2

    h-index

1–5 of 306

Venues

  1. Journal of Proteome Research

    JPR · 12 publications · 1.6K citations

    12

    h-index

  2. PROTEOMICS

    4 publications · 165 citations

    4

    h-index

  3. Molecular & Cellular Proteomics

    MCP · 4 publications · 496 citations

    4

    h-index

  4. Analytical Chemistry

    3 publications · 164 citations

    3

    h-index

  5. BMC Bioinformatics

    3 publications · 123 citations

    3

    h-index

1–5