Outcome Extraction

Outcome Extraction is a methodological process in data extraction that identifies and isolates specific research outputs—such as methods, models, frameworks, or metrics—from academic publications, distinguished by its focus on capturing contributory elements that represent the primary scholarly advancements reported in a study.

3

Publications

265

Citations

17

Authors

11

Institutions

Publications per year

2017–2026

1

Authors

17

  1. SK
    Svetlana Kiritchenko

    National Research Council Canada, Canada

    1 publications · 194 citations

    1

    h-index

  2. AG
    Alexander Gusev

    Harvard University, United States

    1 publications · 54 citations

    1

    h-index

  3. SC
    Simona Carini

    University of California, San Francisco, United States

    1 publications · 194 citations

    1

    h-index

  4. DS
    Deborah Schrag

    Dana-Farber Cancer Institute, United States

    1 publications · 54 citations

    1

    h-index

  5. EK
    Eva Kaltenthaler

    University of Sheffield, United Kingdom

    1 publications · 17 citations

    1

    h-index

1–5 of 17

Venues

  1. BMC Medical Informatics and Decision Making

    1 publications · 194 citations

    1

    h-index

  2. BMC Research Notes

    1 publications · 17 citations

    1

    h-index

  3. Nature Communications

    1 publications · 54 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 11 citations

  5. BMC Bioinformatics

    1 publications · 12 citations

1–5