Originality in scientific titles and abstracts can predict citation count
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866929695919964160 |
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| author | Culbert, Jack H. Kenett, Yoed N. Mayr, Philipp |
| author_facet | Culbert, Jack H. Kenett, Yoed N. Mayr, Philipp |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_01417 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Originality in scientific titles and abstracts can predict citation count Culbert, Jack H. Kenett, Yoed N. Mayr, Philipp Digital Libraries Computation and Language 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. |
| title | Originality in scientific titles and abstracts can predict citation count |
| topic | Digital Libraries Computation and Language |
| url | https://arxiv.org/abs/2502.01417 |