The Emerging Clusters Model: A tool for identifying emerging technologies across multiple patent systems
Research Policy, ISSN: 0048-7333, Vol: 44, Issue: 1, Page: 195-205
2015
- 82Citations
- 235Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Emerging technologies are of great interest to a wide range of stakeholders, but identifying such technologies is often problematic, especially given the overwhelming amount of information available to analysts and researchers on many subjects. This paper describes the Emerging Clusters Model, which uses advanced patent citation techniques to locate emerging technologies in close to real time, rather than retrospectively. The model covers multiple patent systems, and is designed to be extensible to additional systems. This paper also describes the first large scale test of the Emerging Clusters Model. This test reveals that patents in emerging clusters consistently have a significantly higher impact on subsequent technological developments than patents outside these clusters. Given that these emerging clusters are defined as soon as a given time period ends, without the aid of any forward-looking information, this suggests that the Emerging Clusters Model may be a useful tool for identifying interesting new technologies as they emerge.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0048733314001103; http://dx.doi.org/10.1016/j.respol.2014.06.006; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84916878702&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0048733314001103; https://dul.usage.elsevier.com/doi/; https://api.elsevier.com/content/article/PII:S0048733314001103?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S0048733314001103?httpAccept=text/plain; https://dx.doi.org/10.1016/j.respol.2014.06.006
Elsevier BV
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