Scientific Chart Interpretation

Scientific Chart Interpretation is a scholarly method within data interpretation assessment that systematically analyzes and derives meaning from visual representations of empirical data by identifying patterns, relationships, and anomalies according to scientific conventions and quantitative reasoning.

21

Publications

1.6K

Citations

37

Authors

25

Institutions

Publications per year

2017–2026

7

Authors

37

  1. ML
    Marie‐Paule Lefranc

    Centre National de la Recherche Scientifique, France

    4 publications · 756 citations

    5

    h-index

  2. CL
    C. Lee Giles

    Pennsylvania State University, United States

    2 publications · 58 citations

    2

    h-index

  3. VG
    Véronique Giudicelli

    Institut de Génétique Humaine, France

    1 publications · 335 citations

    2

    h-index

  4. WH
    Weihua Huang

    National University of Singapore, Singapore

    2 publications · 59 citations

    2

    h-index

  5. RL
    Renping Liu

    Chongqing University, China

    1 publications · 30 citations

    1

    h-index

1–5 of 37

Venues

  1. Nature

    1 publications · 399 citations

    1

    h-index

  2. Experimental and Clinical Immunogenetics

    1 publications · 74 citations

    1

    h-index

  3. The American Biology Teacher

    1 publications · 13 citations

    1

    h-index

  4. 1

    h-index

  5. Challenges

    1 publications · 12 citations

    1

    h-index

1–5