[Sigmetrics] retrieve foundational patents with PCS; https://arxiv.org/abs/1801.09479

Loet Leydesdorff loet at leydesdorff.net
Tue Jan 30 02:41:58 EST 2018

Data-mining the Foundational Patents of Photovoltaic Materials:
An application of Patent Citation Spectroscopy 
<https://arxiv.org/abs/1801.09479>y <https://arxiv.org/abs/1801.09479>
>We apply Patent Citation Spectroscopy (PCS)--originally developed as 
>Reference Publication Year Spectroscopy for studying landmarks and 
>milestones in scientific literature--to patent literature classified 
>into the nine Y-subclasses of the Cooperative Patent Classification 
>(CPC) that describe material photovoltaic technologies. For this study 
>we extended the routine with the option to use the advanced search 
>queries at PatentsView. On the basis of two normalizations of the 
>longitudinal distribution of the publication years of the patents cited 
>by the retrieved patents, the routine (at this http URL 
><http://www.leydesdorff.net/comins/pcs/index.html>) provides a best 
>guess of the foundational patent for the subject specified in the 
>string. In five of the nine cases, we found corroborating evidence for 
>the foundational character of the patent indicated by the routine.
Jordan Comins, Loet Leydesdorff
(Submitted on 29 Jan 2018)

Loet Leydesdorff

Professor emeritus, University of Amsterdam
Amsterdam School of Communication Research (ASCoR)

loet at leydesdorff.net <mailto:loet at leydesdorff.net>; 
Associate Faculty, SPRU, <http://www.sussex.ac.uk/spru/>University of 

Guest Professor Zhejiang Univ. <http://www.zju.edu.cn/english/>, 
Hangzhou; Visiting Professor, ISTIC, 

Visiting Fellow, Birkbeck <http://www.bbk.ac.uk/>, University of London;


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