La producción científica de la Universidad de Granada citada en patentes: Un análisis de Transferencia Tecnológica

Gálvez-Martínez, Carmen . La producción científica de la Universidad de Granada citada en patentes: Un análisis de Transferencia Tecnológica., 2024 In: Estrategias de respuesta en la enseñanza ante los desafíos irruptivos. Peter Lang, pp. 171-182. [Book chapter]

Preview

Text Galvez-Transferencia tecnologica.pdf - Published version Available under License Creative Commons Attribution Non-commercial Share Alike. Download (178kB) | Preview

English abstract

A patent is an Industrial Property Title granted by the State to the author of an invention, through which the author is given (in exchange for making the invention publicly known) the exclusive right to exploit it within the national territory for a specified period of time. It is a right that the State exclusively grants for inventions. In the field of innovation, patents serve a dual function: (i) on one hand, they protect and inspire research and technological development—here, their purpose is to safeguard industrial property, which requires their dissemination through official agency databases; and (ii) on the other hand, they act as drivers of technological development. Some of the commercial databases and specialized search engines include: the Spanish Patent and Trademark Office (OEPM), the United States Patent and Trademark Office (USPTO), the Japan Patent Office (JPO), Patentscope, and open-access initiatives such as Google Patents and Lens. Moreover, patents are also relevant documents from a bibliographic perspective, as they contain references to scientific and technological literature provided during the application process (to justify the novelty and utility of the invention). In the past, the only indicators used to measure the dynamism of a technological sector were based on the number of registered patents. However, today, the scientific literature cited in patents is considered a key indicator and a tool to evaluate the scientific influence on technology. The importance of patent citations is projected as an indicator of scientific productivity, aiming to analyze the link between scientific activity and technology transfer. To do this, it is necessary to apply specific metrics that allow the analysis of these citations and establish impact indices focused on measuring the level of technological transfer of the cited publications. The objective of this work is to analyze the scientific literature affiliated with the University of Granada that is cited in patents, as an indicator for understanding the process of technology transfer. The data was obtained from the Lens online database for patent and scholarly literature searches. A total of 647 research papers cited in patents were retrieved. The methodology involved analyzing the scientific output (using the analytical tools available within the Lens database) and performing statistical and descriptive analysis using the RStudio Bibliometrix tool. The results show that the most relevant journals are prestigious international publications, primarily from the Anglo-American world, such as PLOS ONE, Sensors (Basel, Switzerland), Scientific Reports, Nutrients, and Analytica Chimica Acta. Among the most frequently cited authors are Segura-Carretero, A., Alarcón-Riquelme, M.E., Gil, A., Marchal, J.A., and Menendez, P. The fields of study with the highest level of technology transfer are Chemistry, Biology, Medicine, and Immunology. In conclusion, analyzing citations in patents represents an additional challenge in the development of indicators to assess scientific output (in this case, from the University of Granada) from a technological perspective.

Spanish abstract

Este trabajo se encuadra en el contexto del análisis bibliométrico de las citas a artículos de publicaciones científicas en las patentes, como indicador de transferencia tecnológica. Para poder realizar este tipo de estudios bibliométricos de las citas que contienen los documentos de patentes, contamos con bases de datos comerciales y buscadores especializados, tales como European Patent Office (EPO), United States Patent and Trademark Office (USPTO), Japan Patent Office (JPO), Oficina Española de Patentes y Marcas (OEPM), Patentscope o iniciativas particulares, de libre acceso, tales como Google Patents o Lens. En el desarrollo reciente, la disponibilidad de bases de datos de patentes de acceso abierto, como Lens, han hecho posible crear un puente basado en identificadores de la literatura científica y de las patentes. La base de datos Lens ha creado un potente servicio de búsqueda de patentes y literatura académica en línea (proporcionado por la organización sin fines de lucro CAMBIA en 2000 y la Universidad Tecnológica de Queensland, anteriormente denominada Patent Lens, que ha recibido financiación de la Fundación Rockefeller y la Fundación Bill y Melinda Gates, entre otros).bLa base de datos Lens ofrece acceso a los metadatos de más de 225 millones de trabajos académicos y 127 millones de patentes. El objetivo de este estudio fue identificar el vínculo entre la producción científica, con la afiliación institucional de la Universidad de Granada, citada en las patentes y el impacto tecnológico de la misma. El procedimiento utilizado se ha basado en el uso de métodos bibliométricos. Se han aplicado indicadores cuantitativos de producción e indicadores relacionales para detectar la estructura temática y conceptual del campo analizado.

Item type:	Book chapter
Keywords:	Patentes, Transferencia tecnológica, Relación Ciencia-Tecnología Producción Científica, Universidad de Granada
Subjects:	B. Information use and sociology of information B. Information use and sociology of information > BB. Bibliometric methods B. Information use and sociology of information > BD. Information society. B. Information use and sociology of information > BF. Information policy G. Industry, profession and education. J. Technical services in libraries, archives, museum. L. Information technology and library technology
Depositing user:	Carmen Galvez
Date deposited:	02 Jun 2025 15:48
Last modified:	02 Jun 2025 15:48
URI:	http://hdl.handle.net/10760/46829

Available Versions of this Item

• La producción científica de la Universidad de Granada citada en patentes: Un análisis de Transferencia Tecnológica. (deposited 19 May 2025 09:59)
  • La producción científica de la Universidad de Granada citada en patentes: Un análisis de Transferencia Tecnológica. (deposited 02 Jun 2025 15:48) [Currently Displayed]

References

Aria, M. y Cuccurullo C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007

Börner, K., Chen, C. y Boyack, K. W. (2003). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 179-255. https://doi.org/10.1002/aris.1440370106

Callaert, J., Landoni, P., Van Looy, B. y Verganti, R. (2015). Scientific yield from collaboration with industry: The relevance of researchers’ strategic approaches. Research Policy, 44(4), 990-998. https://doi.org/10.1016/j.respol.2015.02.003

Callaert, J., Van Looy B., Verbeek, A., Debackere, K. y Thijs, B. (2006). Traces of Prior Art: An analysis of non-patent references found in patent documents. Scientometrics, 69(1), 3-20.

Callon, M., Courtial, J.-P. y Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics, 22(1), 155-205. https://doi.org/10.1007/bf02019280

Callon, M., Courtial, J. y Penan, H. (1995). Cienciometría. Gijón: Trea.

Callon, M., Courtial, J.-P., Turner, W. A., y Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191-235. doi: https://doi.org/10.1177/053901883022002003

Coulter, N., Monarch, I. y Konda, S. (1998). Software engineering as seen through its research literature: A study in co-word analysis. Journal of the American Society for Information Science, 49(13), 1206-1223.

Etzkowitz, H., Webster, A. y Healy, P. (1998). Capitalizing Knowledge: New Intersections of Industry and Academia. State University of New York Press, New York.

Jaffe, A. B. y Trajtenberg, M. (2002). Patents, citations, and innovations: A window on the knowledge economy. Cambridge, MA: MIT Press.

Jaffe, A. B., Trajtenberg, M. y Fogarty, M. S. (2000). Knowledge spillovers and patent citations: Evidence from a survey of inventors. American Economic Review, 90(2), 215-218. https://doi.org/10.1257/aer.90.2.215

Leydesdorff, L. y Etzkowitz, H., (1998). Triple Helix of innovation: introduction. Science and Public Policy, 25(6), 358-364.

Narin, F. y Noma, E. (1988). Is technology becoming science? Scientometrics, 7(3-6), 369-381.

Narin, F. y Olivastro, D. (1988). Patent citation analysis: new validation studies and linkage statistics. En: Van Raan, A. F. J., Nederhoff, A. J. y Moed, H. F. (eds.), Science Indicators: their use in science policy and their role in science studies. DSWO Press, The Netherlands, pp. 14-16.

Narin, F. y Olivastro, D. (1992), Status repor: Linkage between technology and science. Research Policy, 21(3), 237-249. https://doi.org/10.1016/0048-7333(92)90018-Y

Noyons, E. C. M., Moed, H. F. y Luwel, M. (1999). Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study. Journal of the American Society for Information Science, 50(2), 115-131. https://doi.org/10.1002/(SICI)1097-4571(1999)50:2<115::AID-ASI3>3.0.CO;2-J

Perkmann, M., Tartari, V., McKelvey, M., Autio, E., Broström, A., D’Este, P., Fini, R., Geuna, A., Grimaldi, R., Hughes, A., Krabel, S., Kitson, M., Llerena, P., Lissoni, F., Salter, A. y Sobrero, M. (2013). Academic engagement and commercialisation: A review of the literature on university–industry relations. Research Policy, 42(2), 423-442. https://doi.org/10.1016/j.respol.2012.09.007

Rothaermel, F., Agung, S. y Jiang, L. (2007). University entrepreneurship: A taxonomy of the literature. Industrial and Corporate Change, 16(4), 691-791. https://doi.org/10.1093/icc/dtm023

Salton, G. y McGill, M. J. (1983). Introduction to Modern Information Retrieval. New York: McGraw-Hill Book Com.

Small, H. (1997). Update on science mapping: Creating large document spaces. Scientometrics, 38, 275-293. https://doi.org/10.1007/BF02457414

Trajtenberg, M. (1990). A Penny for Your Quotes: Patent Citations and the Value of Innovations. The RAND Journal of Economics, 21(1), 172-187. https://www.jstor.org/stable/2555502

Van Eck, N. J. y Waltman, L. (2009). How to normalize cooccurrence data? An analysis of some well-known similarity measures. Journal of the American Society for Information Science and Technology, 13. https://doi.org/10.1002/asi.21075

Van Raan, A. F. J (2005). Measurement of Central Aspects of Scientific Research: Performance, Interdisciplinarity. Measurement, 3, 1-19. https://doi.org/10.1207/s15366359mea0301_1

Van Raan, A. F. J. (2017). Patent citations analysis and its value in research evaluation: A review and a new approach to map technology-relevant research. Journal of Data and Information Science, 2(1), 13-50. https://doi.org/10.1515/jdis-2017-0002

Wang, M., Zhang, J., Jiao, S. y Zhang, T. (2019). Evaluating the impact of citations of articles based on knowledge flow patterns hidden in the citations. PloS One, 14(11): e0225276. https://doi.org/10.1371/journal.pone.0225276

Downloads

Actions (login required)

View Item