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Tracking the Shift from Bar Graphs to Informative Plots in Biomedical Journals. Impact of Journal Policies on the Visualization of Continuous Data.

Authors: Cunha-Oliveira, Teresa; ZALAI, YAZID;

Tracking the Shift from Bar Graphs to Informative Plots in Biomedical Journals. Impact of Journal Policies on the Visualization of Continuous Data.

Abstract

This dashboard tracks how data-visualization practices in scientific publishing have evolved over time, focusing on the use of bar charts versus more informative alternatives. Visualization types are classified by barzooka, an automated deep-learning tool that screens PDF figures. Bar charts - the conventional mean-and-error bar format Informative charts - bars with dots, box plots, dot plots, histograms, or violin plots Data are organized across 12 Research Fields: Cardiac & Cardiovascular Systems Clinical Neurology Endocrinology & Metabolism Genetics & Heredity Immunology Neurosciences Oncology Orthopedics Pharmacology & Pharmacy Physiology Rheumatology Urology & Nephrology The dataset covers 213 biomedical journals (2010–2025), 71 of which adopted an editorial figure-type policy, enabling comparison of policy vs. non-policy journals and before/after policy adoption. Unless otherwise specified, percentages were calculated in comparison with the total eligible articles, meaning articles containing at least one bar graph or an informative plot. Live dashboard: https://excelscior-uc.github.io/journal-policy-dashboard/ Source code: https://github.com/excelscior-uc/journal-policy-dashboard/

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