Originality in scientific titles and abstracts can predict citation count

Jack H. Culbert, Yoed N. Kenett, Philipp Mayr
2/3/2025
cs.DLcs.CL

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Abstract

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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Cite this paper

@article{culbert2025originality,
  title  = {Originality in scientific titles and abstracts can predict citation count},
  author = {Jack H. Culbert and Yoed N. Kenett and Philipp Mayr},
  year   = {2025},
  eprint = {2502.01417},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2502.01417v1}
}

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