用语义创新度预测论文引用量，发现越有创意越易被引。
Originality in scientific titles and abstracts can predict citation count
- 用语义发散整合度衡量科学标题和摘要的原创性。
- 原创性高的论文5年引用量平均高出13%（调整R²=0.13）。
- 适用于想提升论文影响力的研究者或期刊编辑。
本研究采用源自创造力科学的计算指标——发散语义整合度（DSI），分析了来自Web of Science的99,557篇科学论文的标题与摘要。结果显示不同学科间DSI存在显著差异，且随时间略有上升。通过建模论文发表后5年的引用次数对数，发现所有领域中DSI均与引用量呈显著正相关，调整后的决定系数R²为0.13。
原文摘要 · Abstract (English)
In this research-in-progress paper, we apply a computational measure correlating with originality from creativity science: Divergent Semantic Integration (DSI), to a selection of 99,557 scientific abstracts and titles selected from the Web of Science. We observe statistically significant differences in DSI between subject and field of research, and a slight rise in DSI over time. We model the base 10 logarithm of the citation count after 5 years with DSI and find a statistically significant positive correlation in all fields of research with an adjusted $R^2$ of 0.13.
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