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means by which differences in patent quality were accessed, especially in large datasets
                   where in-depth qualitative evaluation of individual patents is not possible.  Citations to
                   prior patents are submitted as part of a new patent application in order to establish “prior
                   art.”  The applicant is required to disclose the prior art to the examiner and must then
                   establish how their invention goes beyond that prior art.  The examiner often adds
                   citations they are aware of, such that half of the citations come, on average, from the
                   examiner [41].  While it is not incumbent upon the applicant or the examiner to be
                   exhaustive in their citation inclusion, important patents do on average receive more
                   citations [34].  Similar to publications [42], inventors (authors) often cite their own work
                   in part to show the evolution of knowledge but also, perhaps, to influence their citation
                   relevance [43, 44] or Eigenfactor [45], which are used as the basis of tenure and other
                   promotion decisions [46].  Therefore, for all analysis herein, patent technology value is
                   defined by citations from future patents less inventor self-citations, henceforth denoted
                   simply as citations (γ).  Patents that are more highly cited are thought to provide the basis
                   for future technical advance and often change the bases of competition between firms and
                   industries.  Hence, we might consider highly cited patents as technical breakthroughs.
                   Besides measuring the impact of individual patents, citations have also been used to
                   measure status and deference [47], knowledge flow [48], and to disambiguate inventor
                   careers [35].  They have also been shown to correlate weakly with financial value as
                   reported by a survey of patent holders [49].

                   While very popular, we recognize that patent citations are an imprecise and flawed
                   measure of technological importance and breakthrough [50].  Selecting a like patent set
                   for comparison and evaluation of anomalies is essential because it has been observed that
                   different industries have different citation patterns and norms [42] (e.g., the
                   pharmaceutical industry is a highly collaborative and citing industry).  Also, since
                   citations accrue to a patent over a period of several years after it issues, citation counts
                   for recent patents are disadvantaged compared to older patents, an effect known
                   as “truncation” [42], and this is true with energy patents as well (Figure 1).  In this figure,
                   traditional energy (10,442 patents) and renewable energy (10,603 patents) patent sets
                   were identified by keyword search; the random baseline includes 10,000 randomly
                   selected patents from the entire U.S. patent dataset.




























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