Abstract
Studying the Sleeping Beauty phenomenon of scientific accomplishments can promote advanced and transformative technologies identification. Although there are significant researches focused on scientific Sleeping Beauty, they have limited concern toward the measurement or characteristic description of Sleeping Beauty patent (SBP) or patent family. This study aims to combine them and identify the Sleeping Beauty patent family (SBPF). Accordingly, we constructed a patent family knowledge diffusion burst detection model by patent family’s citation and assignment indexes, which are based on the burst of the Sleeping Beauty literature during technical knowledge diffusion. We took polymerase chain reaction technology as an example, identifying sleeping–waking phenomenon and characteristics of the SBPF in this field, as well as revealing the relationship between SBPF and SBP. Our findings revealed that in the process of technological knowledge diffusion, SBP and their family exhibited significant combined effects and cumulative effects of geographical advantages. In addition, the knowledge burst of SBP is a crucial factor that promotes the formation of the SBPF and can continuously enlarge its influence. This study expands the theoretical framework of technological knowledge diffusion by identifying the Sleeping Beauty phenomenon of technological innovations and provides theoretical and methodology support for identifying advanced and transformative technologies based on patent data.
Similar content being viewed by others
Data availability
All data and materials support our published claims and comply with field standards.
Code availability
All software application or custom code support our published claims and comply with field standards.
Notes
The criteria for defining the awakening of the Sleeping Beauty patent in Hou & Yang (2019): (i) The critical value of the sleep period: to reasonably distinguish the hysteresis discovery critical value of patent texts in different countries, Ti was defined as follows—the total number of invalid patents in a country in the last 20 years is M. After ranking the M number of patents in terms of patent life (in years) in an ascending order, at 1/2 M, the life of the patent text was taken as the critical value Ti of the hysteresis recognition period. In this study, based on 33,250,149 invalid patents in > 100 countries/regions around the world, we calculated the threshold of sleep period as 6. (ii) The standard for the awakening status was the burst intensity of knowledge ≥ 0.5.
References
Allison, J. R., Lemley, M., Moore, K. A., & Trunkey, D. (2003). Valuable patents. Berkeley Olin Program in Law & Economics, 92(3), 435–479.
Barber, B. (1961). Resistance by scientists to scientific discovery. Science, 134(3479), 596–602.
Braun, T., Glänzel, W., & Schubert, A. (2010). On sleeping beauties, princes and other tales of citation distributions. Research Evaluation, 19(3), 195–202.
Burrell, Q. L. (2005). Are“sleeping beauties”to be expected? Scientometrics, 65(3), 381–389.
Chang, Y. H., Wen, G. Y., & Lai, K. K. (2010). Valuable patent or not? Depends on the combination of internal patent family and external citation. IEEE.
Chen, Y.-S., Lin, Y.-H., Wu, T.-H., Hung, S.-T., Ting, P.-J.L., & Hsieh, C.-H. (2019). Re-examine the determinants of market value from the perspectives of patent analysis and patent litigation. Scientometrics, 120, 1–17.
Ciaramella, L., Martínez, C., & Ménière, Y. (2017). Tracking patent transfers in different European countries: Methods and a first application to medical technologies. Scientometrics, 112(2), 817–850.
Cole, S. (1970). Professional standing and the reception of scientific discoveries. American Journal of Sociology, 76(2), 286–306.
Costas, R., Leeuwen, T. N. V., & Raan, A. F. J. V. (2010). Is scientific literature subject to a ‘sell-by-date’? A general methodology to analyze the ‘durability’ of scientific documents. Journal of the American Society for Information Science & Technology, 61(2), 329–339.
Daim, T. U., Rueda, G., Martin, H., & Gerdsri, P. (2006). Forecasting emerging technologies: Use of bibliometrics and patent analysis. Technological Forecasting & Social Change, 73(8), 981–1012.
Daim, T., Lai, K. K., Yalcin, H., Alsoubie, F., & Kumar, V. (2020). Forecasting technological positioning through technology knowledge redundancy: Patent citation analysis of IOT, cybersecurity, and blockchain. Technological Forecasting and Social Change, 161, 1–10.
Dey, R., Roy, A., Chakraborty, T., & Ghosh, S. (2017). Sleeping beauties in computer science: Characterization and early identification. Scientometrics, 113(5439), 1–19.
He, L., Cuimin, Y., & Mengfan, X. (2019). Analysis and study on phenomenon of sleeping beauty in patent literature. Library and Information Service, 63(6), 64–74.
Jian, D., & Yishan, W. (2015). Defining and identifying the sleeping beauty and her princes in science. Library and Information Service, 536(19), 84–92.
Du, J., & Wu, Y. S. (2018). A parameter-free index for identifying under-cited sleeping beauties in science. Scientometrics, 116(2), 959–971.
Garfield, E. (1980). Premature discovery or delayed recognition-why? Current Contents, 21, 5–10.
Garfield E. (1989a). Delayed recognition in scientific discovery: Citation frequency analysis aids the search for case histories. Current Contents, 23 (5): 3–9. Reprinted: Essays of an Information Scientist, 12 : 154–160. Philadelphia: ISI Press.
Garfield E. (1989b). More delayed recognition. Part 1. Examples from the genetics of color blindness, the entropy of short-term memory, phosphoinositides, and polymer Rheology. Current Contents, 38 (18) : 3–8. Reprinted: Essays of an Information Scientist, 12: 264–269. Philadelphia: ISI Press.
Garfield E. (1990). More delayed recognition. Part 2. From inhibin to scanning electron microcopy. Current Contents, 9 (26): 3–9. Reprinted: Essays of an Information Scientist, 13: 68–74. Philadelphia: ISI Press.
Gibbs, A. (2005). Application of multiple known determinants to evaluate legal, commercial and technical value of a patent. Technical Representative, Patent cafe.
Giummo, J. (2014). An examination of the intertemporal returns of patented inventions. Research Policy., 43(8), 1312–1319.
Glanzel, W., & Garfield, E. (2004). The myth of delayed recognition. The Scientist, 18(11), 8–9.
Ho, Y. S., & Hartley, J. (2017). Sleeping beauties in psychology. Scientometrics, 110, 301–305.
Hou, J. H., & Fan, E. (2014). Analysis of the core technology evolution based on patent family-taking solar photovoltaic battery technology as an example. Journal of Intelligence, 33(12), 33–40.
Hou, J., & Yang, X. (2019). Patent sleeping beauties: Evolutionary trajectories and identification methods. Scientometrics, 120(1), 187–215.
Hou, J., & Yang, X. (2020). Social media-based sleeping beauties: Defining, identifying and features. Journal of Informetrics, 14(2), 101012.
Huang, T. C., Hsu, C., & Ciou, Z. J. (2015). Systematic methodology for excavating sleeping beauty publications and their princes from medical and biological engineering studies. Journal of Medical and Biological Engineering, 35(6), 749–758.
Jaffe, A. B., & Trajtenberg, M. (1996). Flows of knowledge from universities and federal laboratories: Modeling the flow of patent citations over time and across institutional and geographic boundaries. Proceedings of the National Academy of Sciences, 93(23), 12671–12677.
Jaffe, A., Trajtenberg, M., & Henderson, R. (1992). Geographic localization of knowledge spillovers as evidenced by patent citations. The Quarterly Journal of Economics. https://doi.org/10.3386/w3993
Ji, R. D, & Wang, J. (2011). Analysis on determinants of knowledge diffusion based on patent citations. 2011 International Conference on Business Management and Electronic Information. doi:https://doi.org/10.1109/icbmei.2011.5920435
Johannes, V. D. P., & Jean-Paul, R. (2018). The co-evolution of knowledge and collaboration networks: the role of the technology life-cycle. Sientometrics, 114(1), 307–323.
Kabore, F. P., & Park, W. G. (2019). Can patent family size and composition signal patent value? Applied Economics, 51(60), 6476–6496.
Karvonen, M., Lehtovaara, M., Kapoor, R., Kassi, T., & Pyrhonen, J. (2012). Analyzing the emerging offshore wind power market technologies. Picmet 12: Technology Management for Emerging Technologies. IEEE.
Ke, Q., Ferrara, E., Radicchi, F., & Flammini, A. (2015). Defining and identifying sleeping beauties in science. Proceedings of the National Academy of Sciences of the United States of America, 112(24), 7426.
Kim, D., Kim, N., & Kim, W. (2018). The effect of patent protection on firms’ market value: The case of the renewable energy sector. Renewable & Sustainable Energy Reviews., 82(3), 4309–4319.
Kleinberg, J. (2002). Bursty and hierarchical structure in streams. Data Mining and Knowledge Discovery, 7(4), 373–397.
Ko, N., Jeong, B., Seo, W., et al. (2019). A transferability evaluation model for intellectual property. Computers & Industrial Engineering., 131, 344–355.
Lachance, C., & Larivière, V. (2014). On the citation lifecycle of papers with delayed recognition. Journal of Informetrics, 8(4), 863–872.
Lai, K. K., Bhatt, P. C., Kumar, V., et al. (2021). Identifying the impact of patent family on the patent trajectory: A case of thin film solar cells technological trajectories. Journal of Informetrics, 15(2), 101–143.
Li, J. (2014). Citation curves of all-elements-sleeping-beauties: Flash in the pan first and then delayed recognition. Scientometrics, 100(2), 595–601.
Li, J., & Ye, F. Y. (2016). Distinguishing sleeping beauties in science. Scientometrics, 108(2), 821–828.
Liu, K. M., Zuo, H. L., Li, G. G., et al. (2020). Global research on artemisinin and its derivatives: Perspectives from patents. Pharmacological Research., 159, 105048.
Lizin, S., Leroy, J., Delvenne, C., Dijk, M., Schepper, E. D., & Passel, S. V. (2013). A patent landscape analysis for organic photovoltaic solar cells: Identifying the technology’s development phase. Renewable Energy, 57(9), 5–11.
Long, Y. X., & Wang, X. M. (2020). Research on the relationship between family and patent value based on technology life cycle. Journal of Intelligence, 39(4), 67–73.
Mezzanotti, F. (2021). Roadblock to innovation: The role of patent litigation in corporate. R&D Management Science. https://doi.org/10.1287/mnsc.2020.3816
Neuhausler, P., & Frietsch, R. (2013). Patent families as macro level patent value indicators: Applying weights to account for market differences. Scientometrics, 96(1), 27–49.
Ohba, N., & Nakao, K. (2012). Sleeping beauties in ophthalmology. Scientometrics, 93(2), 253–264.
Palomeras, N. (2003). Sleeping patents: any reason to wake up? IESE Research Papers, 20(35), 15.
Poege, F., Harhoff, D., Gaessler, F., et al. (2019). Science quality and the value of inventions. Science Advances, 5(12), 73–23.
Priest, G. L., & Klein, B. (1984). The selection of disputes for litigation. The Journal of Legal Studies, 13(1), 1–56.
Russo, D. (2014). Function-based patent search: Achievements and open problems. International Journal of Product Development, 19(13), 39–63.
Stent, G. S. (1972). Prematurity and uniqueness in scientific discovery. Workshop on Mechanisms & Prospects of Genetic Exchange Berlin, 227(6), 433–449.
Stoffels, M. A., Klauck, F. J. R., Hamadi, T., Glorius, F., & Leker, J. (2020). Technology trends of catalysts in hydrogenation reactions: A patent landscape analysis. Advanced Synthesis & Catalysis, 362(6), 1258–1274.
Su, F.P., Shih, H.C. (2011). Building core technological competence: Patent portfolio perspective. Portland International Center for Management of Engineering and Technology (PICMET) Conference on Technology Management in the Energy-Smart World
van Raan, A. F. J. (2004). Sleeping beauties in science. Scientometrics, 59(3), 467–472.
van Raan, A. F. J. (2015). Dormitory of physical and engineering sciences: Sleeping beauties may be sleeping innovations. PLoS ONE, 10(10), e0139786.
van Raan, A. F. J. (2017a). Sleeping beauties cited in patents: Is there also a dormitory of inventions? Scientometrics, 110(3), 1123–1156.
van Raan, A. F. J. (2017b). 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.
van Raan, A. F. J., & Winnink, J. J. (2018). Do younger sleeping beauties prefer a technological prince? Scientometrics, 114, 701–717.
Walter, D. (2014). Patent-to-patent versus patent family-to-patent family citations and the impact of an invention. Pharmaceutical Patent Analyst, 3(3), 219–221.
Ye, F. Y., & Bornmann, L. (2018). “Smart girls” versus “sleeping beauties” in the sciences: The identification of instant and delayed recognition by using the citation angle. Journal of the Association for Information Science and Technology, 69(3), 359–367.
Yuan, X., & Li, X. (2021). Mapping the technology diffusion of battery electric vehicle based on patent analysis: A perspective of global innovation systems. Energy, 222, 119897. https://doi.org/10.1016/j.energy.2021.119897
Zhao, S. X., & Li, J. (2015). Citation peaks in modern science: 1900–2010. Current Science, 109(9), 1523–1525.
Acknowledgements
This research was supported by the 68th General Program of China Postdoctoral Science Foundation [Grant Number: 2020M683150], National Natural Science Foundation for Young Scholars of China [Grant Number: 72104256], and 2021 Youth Project of Philosophy and Social Sciences of Guangdong Province [Grant Number: GD21YTS02].
Funding
This research was supported by the 68th General Program of China Postdoctoral Science Foundation [Grant Number: 2020M683150], National Natural Science Foundation for Young Scholars of China [Grant Number: 72104256], and 2021 Youth Project of Philosophy and Social Sciences of Guangdong Province [Grant Number: GD21YTS02].
Author information
Authors and Affiliations
Contributions
JH conceived and designed the analysis, performed the analysis, wrote the paper, supervision. XY: conceived and designed the analysis, collected the data, contributed data or analysis tools, performed the analysis, wrote the paper. HS: conceived and designed the analysis, collected the data, contributed data or analysis tools, performed the analysis, wrote the paper. HY: collected the data, contributed data or analysis tools, writing- reviewing and editing.
Corresponding author
Ethics declarations
Conflicts of interest
The authors report no declarations of interest.
Ethical approval
All of the authors appropriate approvals.
Consent to participate
All of the authors consent to participate.
Consent for publication
All of the authors consent for publication.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Hou, J., Yang, X., Song, H. et al. Will patent family be dormant? Research on the identification and characteristics of sleeping beauty’s patent family. Scientometrics 128, 5361–5387 (2023). https://doi.org/10.1007/s11192-023-04784-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11192-023-04784-5