Patent citation data for USPTO utility patents granted between 1976-2015 and for patents belonging to 30 technology domains

These two data file contains information on patent citations for USPTO utility patents granted between 1976 and 2015 and for patents that have been classified in 30 specific technology domains. The file 'CITATION_INFO_no_neg_citlag.csv' is generated combining raw data freely dowloadable from patentsview.org from which citations where the filing year of the citing patent is younger than the filing year of the cited one have been removed. The file 'CITATIONS_DOMAINS.csv' is a sample of the previous file that only includes citations made by patents belonging to one of 30 domains defined in the paper 'Estimating technology performance improvement rates by mining patent data' by Giorgio Triulzi, Jeff Alstott and Chris Magee. These two files complement another dataset published on Mendeley Data. The two datasets can be used, together with the code published on GitHub, to replicate the main results from the paper.本数据集涵盖两份数据文件，收录了1976年至2015年间美国专利商标局（USPTO）授权的实用专利，以及被归入30个特定技术领域的专利的引用信息。文件'CITATION_INFO_no_neg_citlag.csv'整合自patentsview.org免费下载的原始数据，且已剔除引用专利申请年份早于被引用专利申请年份的引用条目。文件'CITATIONS_DOMAINS.csv'为前述文件的子集，仅包含归属于Giorgio Triulzi、Jeff Alstott与Chris Magee在论文《通过挖掘专利数据评估技术性能提升速率》（Estimating technology performance improvement rates by mining patent data）中定义的30个技术领域之一的专利所产生的引用。这两份文件可与发布在Mendeley Data上的另一套数据集形成互补。结合GitHub上发布的代码，这两套数据集可用于复现该论文的核心研究结果。