Patentometric: monitoring the scientific and technological trends of Additive Manufacturing in Medical Applications
Patents are a means of protecting inventions developed by firms, institutions or individuals, and they may be interpreted as indicators of invention. Patents indicators convey information on the processes of inventive activities. Therefore, patent statistics will assess science and technology (S&T) activities. Besides, additive manufacturing (AM) has become a revolutionary technology that is changing medical science. For this reason, the patent statistics will allow us to monitor what is the state of the inventive activity of AM in medical applications. The database used in order to retrieve patent information is Patseer and the data have been analyzed through the analytics package called Quick Stats. From the data obtained, it can be concluded that, additive manufacturing in medical applications is an emerging technology with huge market potential. Undoubtedly, the core of invention is located in United States, followed by Germany, United Kingdom and China somewhat behind. Firms are the main holders of legal rights, and the firm’s market value and the knowledge diffusion of technology are ensured by the technological diversity and the number of forward citations presented by patents.
ASTM. (2015). ISO / ASTM52900-15, standard terminology for additive manufacturing – general principles – termi-nology. West Conshohocken, PA: ASTM International.
Atzeni, E., & Salmi, A. (2012). Economics of additive manufacturing for end-usable metal parts. The International Journal of Advanced Manufacturing Technology, 62(9-12), 1147-1155. https://doi.org/10.1007/s00170-011-3878-1
Galati, M., & Iuliano, L. (2018). A literature review of powder-based electron beam melting focusing on numerical simulations. Additive Manufacturing, 19, 1-20. https://doi.org/10.1016/j.addma.2017.11.001
Gibson, I., Rosen, D. W., & Stucker, B. (2010). Additive manufacturing technologies. NY: Springer. https://doi.org/10.1007/978-1-4419-1120-9
GridLogics. (2014). 3D printing: An analysis of patenting activity around 3D-printing from 1990-current GridLogics Technologies Pvt Ltd.
Hopkinson, N., & Dickens, P. (2006). Emerging rapid manufacturing processes. Rapid manufacturing (pp. 55-80) John Wiley & Sons, Ltd. https://doi.org/10.1002/0470033991.ch5
Jin, Y., Ji, S., Li, X., & Yu, J. (2017). A scientometric review of hotspots and emerging trends in additive manufactur-ing. Journal of Manufacturing Technology Management, 28(1), 18-38. https://doi.org/10.1108/JMTM-12-2015-0114
Lerner, J. (1994). The importance of patent scope: An empirical analysis RAND Journal of Economics, 25(2), 319-333. https://doi.org/10.2307/2555833
Mellor, S., Hao, L., & Zhang, D. (2014). Additive manufacturing: A framework for implementation. International Jour-nal of Production Economics, 149, 194-201. https://doi.org/10.1016/j.ijpe.2013.07.008
OECD. (2009). OECD patent statistics manual OECD.
Petrovic, V., Haro, J. V., JOrdá, O., Delgado, J., Blasco, J. R., & Portolés, L. (2011). Additive layered manufacturing: Sectors of industrial application shown through case studies. Internatinal Journal of Production Research, 49(4), 1061-1079. https://doi.org/10.1080/00207540903479786
Rodriguez-Salvador, M., Rio-Belver, R. M., & Garechana-Anacabe, G. (2017). Scientometric and patentometric analyses to determine the knowledge landscape in innovative technologies: The case of 3D bioprinting PLoS ONE, 12(6), 1-22. https://doi.org/10.1371/journal.pone.0180375
Sinha, M., & Pandurangi, A. (2016). Guide to practical patent searching and how to use PatSeer for patent search and analysis. India: Gridlogics Technologies Pvt. Ltd.
Zarrabeitia, E., Bildosola, I., Rio-Belver, R. M., Alvarez, I., & Cilleruelo, E. (2017). Laser additive manufacturing: A patent overview. Lect. Notes in Managem. Industrial Engineering - Engineering Digital Transformation. Springer. https://doi.org/10.1007/978-3-319-96005-0_23
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