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

[Loet Leydesdorff]

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)
https://arxiv.org/abs/1801.09479

--------------------------------------------------------------------------------
Loet Leydesdorff

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

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

Guest Professor Zhejiang Univ. <http://www.zju.edu.cn/english/>, 
Hangzhou; Visiting Professor, ISTIC, 
<http://www.istic.ac.cn/Eng/brief_en.html>Beijing;

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

http://scholar.google.com/citations?user=ych9gNYAAAAJ&hl=en

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