图书情报工作 ›› 2019, Vol. 63 ›› Issue (9): 47-60.DOI: 10.13266/j.issn.0252-3116.2019.09.006

• 情报研究 • 上一篇    下一篇

专利被引频次的时间影响研究

罗文馨1,2, 赵亚娟1,2   

  1. 1. 中国科学院文献情报中心 北京 100190;
    2. 中国科学院大学经济管理学院图书情报与档案管理系 北京 100190
  • 收稿日期:2018-10-25 修回日期:2019-01-22 出版日期:2019-05-05 发布日期:2019-05-05
  • 通讯作者: 赵亚娟(ORCID:0000-0003-3501-8131),研究员,博士生导师,通讯作者,E-mail:zhaoyj@mail.las.ac.cn
  • 作者简介:罗文馨(ORCID:0000-0002-3866-7391),硕士研究生;赵亚娟(ORCID:0000-0003-3501-8131),研究员,博士生导师,通讯作者,E-mail:zhaoyj@mail.las.ac.cn。
  • 基金资助:
    本文系国家重点研发计划"知识产权信息共享与运营服务应用示范"(项目编号:SQ2017YFB140324)研究成果之一。

Time Impact Study of Patent Cited Frequency

Luo Wenxin1,2, Zhao Yajuan1,2   

  1. 1. National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2. Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
  • Received:2018-10-25 Revised:2019-01-22 Online:2019-05-05 Published:2019-05-05

摘要: [目的/意义]研究时间因素对专利被引频次的影响,可以减少时间因素对技术评价活动的制约,提高评价的准确性和可信度。[方法/过程]采集1975-2017年的美国专利数据,开展基于固定效应法的专利被引频次的修正研究。将专利按照不同公开年份和不同技术领域分组,选定组内均值和6个TOP分位数为被引频次基准,统计当前时间点的被引频次基准线及基准线的历史时序变化情况。建立神经网络模型,拟合基准线的时序变化规律,并预测未来统计时间点的基准线。[结果/结论]专利公开年份和统计年份的时间差异,使得专利被引频次无法直接进行比较。本文建立了基于不同技术领域、不同公开年份和不同统计年份的专利被引频次基准线,为专利评估提供参考。

关键词: 专利被引频次, 时间, 固定效应, 时序变化, 基准

Abstract: [Purpose/significance] To study the influence of time factor on patent cited frequency can reduce the restriction of time factor on technical evaluation activities and improve the accuracy and reliability of evaluation.[Method/process] This paper collected U.S. patent data from 1975 to 2017, and carried out the revision study of patent cited frequency based on fixed effect method. The patents were grouped according to different publication years and different technical fields. Group mean and six TOP quantiles were selected as the benchmarks of patent cited frequency, and the benchmarks of patent cited frequency for both the current time point and the historical time series were counted. Then a neural network model was established to fit the timing variation of the benchmarks, thus predicting the benchmarks of future statistical time points.[Result/conclusion] The time difference between publication years and statistical years of patents makes it impossible to directly compare patent citations. This paper establishes benchmarks for patent citations based on different technical fields, different publication years and different statistical years, providing reference for patent evaluation.

Key words: patent cited frequency, time, fixed effect, timing variation, benchmark

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