| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w25742 |
| 来源ID | Working Paper 25742 |
| In-Text Patent Citations: A User\u2019s Guide | |
| Kevin A. Bryan; Yasin Ozcan; Bhaven N. Sampat | |
| 发表日期 | 2019-04-15 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | We introduce, validate, and provide a public database of a new measure of the knowledge inventors draw on: scientific references in patent specifications. These references are common and algorithmically extractable. Critically, they are very different from the “front page” prior art commonly used to proxy for inventor knowledge. Only 24% of front page citations to academic articles are in the patent text, and 31% of in-text citations are on the front page. We explain these differences by describing the legal rules and practice governing citation. Empirical validations suggest that in-text citations appear to more accurately measure real knowledge flows, consistent with their legal role. |
| 主题 | Development and Growth ; Innovation and R& ; D |
| URL | https://www.nber.org/papers/w25742 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/583416 |
| 推荐引用方式 GB/T 7714 | Kevin A. Bryan,Yasin Ozcan,Bhaven N. Sampat. In-Text Patent Citations: A User\u2019s Guide. 2019. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w25742.pdf（763KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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