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This Zenodo page describes data collection, processing, and different open access data files related to the text of scientific publications from Microsoft Academic Graph (MAG) (now OpenAlex). If you use the code or data, please cite the following paper: Arts S, Melluso N, Veugelers R (2023). Beyond Citations: Measuring Novel Scientific Ideas and their Impact in Publication Text. https://doi.org/10.48550/arXiv.2309.16437
Impact, Text mining, Novelty, Scientific publications, Scientific ideas, Microsoft Academic Graph, OpenAlex, Natural Language Processing
Impact, Text mining, Novelty, Scientific publications, Scientific ideas, Microsoft Academic Graph, OpenAlex, Natural Language Processing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 118 | |
| downloads | 108 |

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