This paper examines the citation impact of papers published in scientific-scholarly journals upon patentable technology, as reflected in examiner- or inventor-given references in granted patents. It analyses data created by SCImago Research Group, linking PATSTAT's scientific non-patent references (SNPRs) to source documents indexed in Scopus. The frequency of patent citations to journal papers is calculated per discipline, year, institutional sector, journal subject category, and for "top" journals. PATSTAT/Scopus-based statistics are compared to those derived from Web of Science/USPTO linkage. A detailed assessment is presented of the technological impact of research publications in social sciences and humanities (SSH). Several subject fields perform well in terms of the number of citations from patents, especially Library & Information Science, Language & Linguistics, Education, and Law, but many of the most cited journals find themselves in the interface between SSH and biomedical or natural sciences. Analyses of the titles of citing patents and cited papers are presented that shed light upon the cognitive content of patent citations. It is proposed to develop more advanced indicators of citation impact of papers upon patents, and ways to combine citation counts with citation content and context analysis.

中文翻译：

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社会科学和人文科学对可专利技术的引用影响

本文研究了在科学学术期刊上发表的论文对可专利技术的引用影响，如审查员或发明人在授权专利中提供的参考文献中所反映的那样。它分析由 SCImago 研究组创建的数据，将 PATSTAT 的科学非专利参考文献 (SNPR) 与 Scopus 中索引的源文件联系起来。期刊论文的专利引用频率按学科、年份、机构部门、期刊学科类别和“顶级”期刊计算。将基于 PATSTAT/Scopus 的统计数据与源自 Web of Science/USPTO 链接的统计数据进行比较。对社会科学和人文科学 (SSH) 研究出版物的技术影响进行了详细评估。几个学科领域在专利引用次数方面表现良好，尤其是图书馆和 信息科学、语言和语言学、教育和法律，但许多被引用最多的期刊发现自己处于 SSH 与生物医学或自然科学之间的界面。对引用专利和被引论文的标题进行了分析，阐明了专利引用的认知内容。建议制定更先进的论文对专利引用影响指标，以及将引用计数与引用内容和上下文分析相结合的方法。