[Sigmetrics] Algorithmic retrieval of landmark patents; prprint version

Loet Leydesdorff loet at leydesdorff.net
Sat Oct 14 13:53:19 EDT 2017

Patent Citation Spectroscopy (PCS): Algorithmic retrieval of landmark 
Jordan A. Comins[1] <#_ftn1>,*,‡, Stephanie A. Carmack[2] <#_ftn2>, and 
Loet Leydesdorff[3] <#_ftn3>
One essential component in the construction of patent landscapes in 
biomedical research and development (R&D) is identifying the most 
seminal patents. Hitherto, the identification of seminal patents 
required subject matter experts within biomedical areas. In this brief 
communication, we report an analytical method and tool, Patent Citation 
Spectroscopy (PCS), for rapidly identifying landmark patents in 
user-specified areas of biomedical innovation. PCS mines the cited 
references within large sets of patents and provides an estimate of the 
most historically impactful prior work. The efficacy of PCS is shown in 
two case studies of biomedical innovation with clinical relevance: (1) 
RNA interference and (2) cholesterol. PCS mined and analyzed 4,065 cited 
references related to patents on RNA interference and correctly 
identified the foundational patent of this technology, as independently 
reported by subject matter experts on RNAi intellectual property. 
Secondly, PCS was applied to a broad set of patents dealing with 
cholesterol – a case study chosen to reflect a more general, as opposed 
to expert, patent search query. PCS mined through 11,326 cited 
references and identified the seminal patent as that for Lipitor, the 
groundbreaking medication for treating high cholesterol as well as the 
pair of patents underlying Repatha. These cases suggest that PCS 
provides a useful method for identifying seminal patents in areas of 
biomedical innovation and therapeutics. The interactive tool is 
free-to-use at: www.leydesdorff.net/comins/pcs/ .

TheMITRECorporation, McLean, VA, UnitedStates; jcomins at gmail.com

andisnotintendedtoconveyorimplyMITRE'sconcurrencewith, orsupportfor, 
thepositions, opinionsorviewpointsexpressedbytheauthor. 
ApprovedforPublicRelease; DistributionUnlimitedCase #17-0951.

[2] <#_ftnref2>National Institute on Drug Abuse, National Institutes of 
Health, Baltimore, MD, 21224

[3] <#_ftnref3>AmsterdamSchoolofCommunicationResearch (ASCoR), 
UniversityofAmsterdam, POBox 15793, 1001 NGAmsterdam, TheNetherlands

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