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This Zenodo page describes data collection, processing, and different open access data files related to the text of USPTO patent documents. The document "Data Description Zenodo.pdf" provides more details. If you use the code or data, please cite the following paper: Arts S, Hou J, Gomez JC (2021). Natural language processing to identify the creation and impact of new technologies in patent text: Code, data, and new measures. Research Policy, 50(2), 104144. (https://doi.org/10.1016/j.respol.2020.104144)
USPTO, impact, patent measures, natural language processing, technological progress, innovation, novelty
USPTO, impact, patent measures, natural language processing, technological progress, innovation, novelty
| 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 | 1K | |
| downloads | 1K |

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