Originality in scientific titles and abstracts can predict citation count
Culbert, Jack H., Kenett, Yoed N., Mayr, Philipp
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Feb-3-2025
- Country:
- Asia > Middle East
- Israel > Haifa District > Haifa (0.04)
- Europe > Germany
- North Rhine-Westphalia > Cologne Region > Cologne (0.04)
- North America > United States
- Minnesota > Hennepin County > Minneapolis (0.14)
- Asia > Middle East
- Genre:
- Research Report > New Finding (0.70)
- Industry:
- Health & Medicine > Therapeutic Area (0.94)
- Technology: