Assesses factors affecting exhibition quantity in Chinese museums, highlighting key influences.
The actual display rate of exhibitions in Chinese museums is unknown. A mathematical model was developed to estimate the display rate, and Lasso and logistics regression were used to analyze factors affecting exhibition quantity. From 2009 to 2017, display rates across different museum levels and types were low and declining. Among seven factors, area, GDP ranking, and professional employee count, were identified as most relevant to exhibition quantity. A nomogram was constructed using these factors to predict exhibition quantity probability, achieving results with a level of high accuracy (C-index: 0.99, AUC: 0.923). These factors showed a strong correlation (>0.7) with exhibition quantity.
No takes yet. Share an insight, caveat, or question.
Jiao Li (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: