{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T00:04:45Z","timestamp":1775174685626,"version":"3.50.1"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T00:00:00Z","timestamp":1715299200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T00:00:00Z","timestamp":1715299200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100013139","name":"Humanities and Social Science Fund of Ministry of Education of China","doi-asserted-by":"publisher","award":["20YJC740067"],"award-info":[{"award-number":["20YJC740067"]}],"id":[{"id":"10.13039\/501100013139","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Young Scholar Project of Pazhou Lab","award":["No.PZL2021KF0021"],"award-info":[{"award-number":["No.PZL2021KF0021"]}]},{"name":"Guangzhou Basic and Applied Basic Research","award":["202201010184"],"award-info":[{"award-number":["202201010184"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Scientometrics"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1007\/s11192-024-04990-9","type":"journal-article","created":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T07:02:09Z","timestamp":1715324529000},"page":"7417-7442","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An extraction and novelty evaluation framework for technology knowledge elements of patents"],"prefix":"10.1007","volume":"129","author":[{"given":"Tingting","family":"Wei","sequence":"first","affiliation":[]},{"given":"Danyu","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Shiling","family":"Song","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6985-4547","authenticated-orcid":false,"given":"Cai","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,10]]},"reference":[{"key":"4990_CR1","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.wpi.2013.12.006","volume":"37","author":"A Abbas","year":"2014","unstructured":"Abbas, A., Zhang, L., & Khan, S. U. (2014). A literature review on the state-of-the-art in patent analysis. World Patent Information, 37, 3\u201313. https:\/\/doi.org\/10.1016\/j.wpi.2013.12.006","journal-title":"World Patent Information"},{"key":"4990_CR2","doi-asserted-by":"publisher","DOI":"10.1184\/R1\/6626252.v1","author":"J Allan","year":"1998","unstructured":"Allan, J., Carbonell, J. G., Doddington, G., et al. (1998). Topic detection and tracking pilot study final report. Carnegie Mellon University. https:\/\/doi.org\/10.1184\/R1\/6626252.v1","journal-title":"Carnegie Mellon University"},{"issue":"2","key":"4990_CR3","doi-asserted-by":"publisher","first-page":"1157","DOI":"10.1007\/s11192-020-03535-0","volume":"124","author":"S Altuntas","year":"2020","unstructured":"Altuntas, S., Erdogan, Z., & Dereli, T. (2020). A clustering-based approach for the evaluation of candidate emerging technologies. Scientometrics, 124(2), 1157\u20131177. https:\/\/doi.org\/10.1007\/s11192-020-03535-0","journal-title":"Scientometrics"},{"issue":"1","key":"4990_CR4","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1002\/smj.2699","volume":"39","author":"S Arts","year":"2018","unstructured":"Arts, S., Cassiman, B., & Gomez, J. C. (2018). Text matching to measure patent similarity. Strategic Management Journal, 39(1), 62\u201384. https:\/\/doi.org\/10.1002\/smj.2699","journal-title":"Strategic Management Journal"},{"key":"4990_CR5","doi-asserted-by":"publisher","first-page":"5413","DOI":"10.1016\/j.wpi.2013.12.006","volume":"126","author":"JH Cho","year":"2021","unstructured":"Cho, J. H., Lee, J., & Sohn, S. Y. (2021). Predicting future technological convergence patterns based on machine learning using link prediction. Scientometrics, 126, 5413\u20135429. https:\/\/doi.org\/10.1016\/j.wpi.2013.12.006","journal-title":"Scientometrics"},{"key":"4990_CR6","unstructured":"Contributors, P. (2021). Paddlenlp: An easy-to-use and high performance nlp library. https:\/\/github.com\/PaddlePaddle\/PaddleNLP."},{"key":"4990_CR7","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M. W. & Lee, K. et\u00a0al. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprintarXiv:1810.04805https:\/\/doi.org\/10.48550\/arXiv.1810.04805.","DOI":"10.48550\/arXiv.1810.04805"},{"key":"4990_CR8","doi-asserted-by":"publisher","unstructured":"de\u00a0Diego, I. M., Gonz\u00e1lez-Fern\u00e1ndez, C. & Fern\u00e1ndez-Isabel, A. et\u00a0al. (2021). System for evaluating the reliability and novelty of medical scientific papers. Journal of Informetrics 15(4):101,188. https:\/\/doi.org\/10.1016\/j.joi.2021.101188.","DOI":"10.1016\/j.joi.2021.101188"},{"issue":"2","key":"4990_CR9","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.ijis.2018.08.004","volume":"2","author":"M Edwards-Schachter","year":"2018","unstructured":"Edwards-Schachter, M. (2018). The nature and variety of innovation. International Journal of Innovation Studies, 2(2), 65\u201379. https:\/\/doi.org\/10.1016\/j.ijis.2018.08.004","journal-title":"International Journal of Innovation Studies"},{"issue":"101","key":"4990_CR10","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.aei.2020.101155","volume":"46","author":"Y Geum","year":"2020","unstructured":"Geum, Y., & Kim, M. (2020). How to identify promising chances for technological innovation: Keygraph-based patent analysis. Advanced Engineering Informatics, 46(101), 155. https:\/\/doi.org\/10.1016\/j.aei.2020.101155","journal-title":"Advanced Engineering Informatics"},{"issue":"102","key":"4990_CR11","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1016\/j.rcim.2021.102222","volume":"73","author":"L Guo","year":"2022","unstructured":"Guo, L., Yan, F., Li, T., et al. (2022). An automatic method for constructing machining process knowledge base from knowledge graph. Robotics and Computer-Integrated Manufacturing, 73(102), 222. https:\/\/doi.org\/10.1016\/j.rcim.2021.102222","journal-title":"Robotics and Computer-Integrated Manufacturing"},{"issue":"121","key":"4990_CR12","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1016\/j.techfore.2022.121559","volume":"177","author":"DS Hain","year":"2022","unstructured":"Hain, D. S., Jurowetzki, R., Buchmann, T., et al. (2022). A text-embedding-based approach to measuring patent-to-patent technological similarity. Technological Forecasting and Social Change, 177(121), 559. https:\/\/doi.org\/10.1016\/j.techfore.2022.121559","journal-title":"Technological Forecasting and Social Change"},{"key":"4990_CR13","doi-asserted-by":"publisher","unstructured":"Hasan, M.A., Spangler, W.S. & Griffin, T., et\u00a0al. (2009). Coa: Finding novel patents through text analysis. In: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pp 1175\u20131184, https:\/\/doi.org\/10.1145\/1557019.1557146.","DOI":"10.1145\/1557019.1557146"},{"issue":"102","key":"4990_CR14","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.technovation.2021.102407","volume":"112","author":"S Hong","year":"2022","unstructured":"Hong, S., Kim, J., Woo, H. G., et al. (2022). Screening ideas in the early stages of technology development: A word2vec and convolutional neural network approach. Technovation, 112(102), 407. https:\/\/doi.org\/10.1016\/j.technovation.2021.102407","journal-title":"Technovation"},{"key":"4990_CR15","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/9373911","author":"R Hu","year":"2022","unstructured":"Hu, R., Ma, W., Lin, W., et al. (2022). Technology topic identification and trend prediction of new energy vehicle using lda modeling. Complexity. https:\/\/doi.org\/10.1155\/2022\/9373911","journal-title":"Complexity"},{"key":"4990_CR16","doi-asserted-by":"publisher","first-page":"2704","DOI":"10.1145\/3366423.3380027","volume":"2020","author":"Z Hu","year":"2020","unstructured":"Hu, Z., Dong, Y., Wang, K., et al. (2020). Heterogeneous graph transformer. Proceedings of the web conference, 2020, 2704\u20132710. https:\/\/doi.org\/10.1145\/3366423.3380027","journal-title":"Proceedings of the web conference"},{"issue":"11","key":"4990_CR17","doi-asserted-by":"publisher","first-page":"1905","DOI":"10.3390\/pr9111905","volume":"9","author":"Y Jin","year":"2021","unstructured":"Jin, Y., Liu, J., Wang, X., et al. (2021). Technology recommendations for an innovative agricultural robot design based on technology knowledge graphs. Processes, 9(11), 1905. https:\/\/doi.org\/10.3390\/pr9111905","journal-title":"Processes"},{"issue":"22","key":"4990_CR18","doi-asserted-by":"publisher","first-page":"6240","DOI":"10.3390\/su11226240","volume":"11","author":"KH Kim","year":"2019","unstructured":"Kim, K. H., Han, Y. J., Lee, S., et al. (2019). Text mining for patent analysis to forecast emerging technologies in wireless power transfer. Sustainability, 11(22), 6240. https:\/\/doi.org\/10.3390\/su11226240","journal-title":"Sustainability"},{"issue":"2","key":"4990_CR19","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1002\/asi.20274","volume":"57","author":"R Klavans","year":"2006","unstructured":"Klavans, R., & Boyack, K. W. (2006). Identifying a better measure of relatedness for mapping science. Journal of the American Society for Information Science and Technology, 57(2), 251\u2013263. https:\/\/doi.org\/10.1002\/asi.20274","journal-title":"Journal of the American Society for Information Science and Technology"},{"key":"4990_CR20","doi-asserted-by":"publisher","unstructured":"Korobkin, D., Shabanov, D., & Fomenkov, S., et\u00a0al. (2019). Construction of a matrix \u201cphysical effects\u2013technical functions\u201d on the base of patent corpus analysis. In: Creativity in Intelligent Technologies and Data Science: Third Conference, CIT &DS 2019, Volgograd, Russia, September 16\u201319, 2019, Proceedings, Part II 3, Springer, pp 52\u201368, https:\/\/doi.org\/10.1007\/978-3-030-29750-3_5.","DOI":"10.1007\/978-3-030-29750-3_5"},{"issue":"120","key":"4990_CR21","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1016\/j.techfore.2021.120646","volume":"166","author":"C Lee","year":"2021","unstructured":"Lee, C. (2021). A review of data analytics in technological forecasting. Technological Forecasting and Social Change, 166(120), 646. https:\/\/doi.org\/10.1016\/j.techfore.2021.120646","journal-title":"Technological Forecasting and Social Change"},{"issue":"102","key":"4990_CR22","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.technovation.2020.102140","volume":"96","author":"C Lee","year":"2020","unstructured":"Lee, C., Jeon, D., Ahn, J. M., et al. (2020). Navigating a product landscape for technology opportunity analysis: A word2vec approach using an integrated patent-product database. Technovation, 96(102), 140. https:\/\/doi.org\/10.1016\/j.technovation.2020.102140","journal-title":"Technovation"},{"issue":"6","key":"4990_CR23","doi-asserted-by":"publisher","first-page":"58","DOI":"10.25165\/j.ijabe.20191206.4907","volume":"12","author":"Z Liu","year":"2019","unstructured":"Liu, Z., L\u00fc, Z., Zheng, W., et al. (2019). Design of obstacle avoidance controller for agricultural tractor based on ros. International Journal of Agricultural and Biological Engineering, 12(6), 58\u201365. https:\/\/doi.org\/10.25165\/j.ijabe.20191206.4907","journal-title":"International Journal of Agricultural and Biological Engineering"},{"key":"4990_CR24","doi-asserted-by":"publisher","unstructured":"Lu, Y., Liu, Q., & Dai, D., et\u00a0al. (2022). Unified structure generation for universal information extraction. arXiv preprint arXiv:2203.12277https:\/\/doi.org\/10.48550\/arXiv.2203.12277.","DOI":"10.48550\/arXiv.2203.12277"},{"issue":"7","key":"4990_CR25","doi-asserted-by":"publisher","first-page":"720","DOI":"10.3772\/j.issn.1000-0135.2022.07.006","volume":"41","author":"Z Luo","year":"2022","unstructured":"Luo, Z., Lu, W., Cai, L., et al. (2022). Application of lexical functions in novelty measurement of academic papers. Journal of the China Society for Scientific and Technical Information, 41(7), 720\u2013732. https:\/\/doi.org\/10.3772\/j.issn.1000-0135.2022.07.006","journal-title":"Journal of the China Society for Scientific and Technical Information"},{"issue":"121","key":"4990_CR26","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.techfore.2021.121159","volume":"173","author":"T Ma","year":"2021","unstructured":"Ma, T., Zhou, X., Liu, J., et al. (2021). Combining topic modeling and sao semantic analysis to identify technological opportunities of emerging technologies. Technological Forecasting and Social Change, 173(121), 159. https:\/\/doi.org\/10.1016\/j.techfore.2021.121159","journal-title":"Technological Forecasting and Social Change"},{"key":"4990_CR27","doi-asserted-by":"publisher","unstructured":"Nakai, K., Nonaka, H., Hentona, A., et\u00a0al. (2018). Community detection and growth potential prediction using the stochastic block model and the long short-term memory from patent citation networks. In: 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), IEEE, pp 1884\u20131888, https:\/\/doi.org\/10.1109\/IEEM.2018.8607487.","DOI":"10.1109\/IEEM.2018.8607487"},{"key":"4990_CR28","unstructured":"Nakayama, H., Kubo, T., & Kamura, J., et\u00a0al. (2018). doccano: Text annotation tool for human, software available from https:\/\/github.com\/doccano\/doccano."},{"key":"4990_CR29","unstructured":"Ng, A., & Jordan, M. (2001). On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. Advances in neural information processing systems 14."},{"issue":"3","key":"4990_CR30","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/0040-1625(95)00022-3","volume":"49","author":"AL Porter","year":"1995","unstructured":"Porter, A. L., & Detampel, M. J. (1995). Technology opportunities analysis. Technological Forecasting and Social Change, 49(3), 237\u2013255. https:\/\/doi.org\/10.1016\/0040-1625(95)00022-3","journal-title":"Technological Forecasting and Social Change"},{"issue":"102","key":"4990_CR31","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.technovation.2020.102196","volume":"101","author":"H Ren","year":"2021","unstructured":"Ren, H., & Zhao, Y. (2021). Technology opportunity discovery based on constructing, evaluating, and searching knowledge networks. Technovation, 101(102), 196. https:\/\/doi.org\/10.1016\/j.technovation.2020.102196","journal-title":"Technovation"},{"key":"4990_CR32","doi-asserted-by":"publisher","first-page":"2053","DOI":"10.1007\/s11119-021-09824-9","volume":"22","author":"MH Saleem","year":"2021","unstructured":"Saleem, M. H., Potgieter, J., & Arif, K. M. (2021). Automation in agriculture by machine and deep learning techniques: A review of recent developments. Precision Agriculture, 22, 2053\u20132091. https:\/\/doi.org\/10.1007\/s11119-021-09824-9","journal-title":"Precision Agriculture"},{"issue":"2","key":"4990_CR33","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1007\/s11192-020-03751-8","volume":"126","author":"PE Stek","year":"2021","unstructured":"Stek, P. E. (2021). Identifying spatial technology clusters from patenting concentrations using heat map kernel density estimation. Scientometrics, 126(2), 911\u2013930. https:\/\/doi.org\/10.1007\/s11192-020-03751-8","journal-title":"Scientometrics"},{"issue":"8","key":"4990_CR34","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.1016\/j.respol.2015.05.008","volume":"44","author":"D Strumsky","year":"2015","unstructured":"Strumsky, D., & Lobo, J. (2015). Identifying the sources of technological novelty in the process of invention. Research Policy, 44(8), 1445\u20131461. https:\/\/doi.org\/10.1016\/j.respol.2015.05.008","journal-title":"Research Policy"},{"key":"4990_CR35","doi-asserted-by":"publisher","unstructured":"Sun, Y., Wang, S., & Feng, S., et\u00a0al. (2021). Ernie 3.0: Large-scale knowledge enhanced pre-training for language understanding and generation. arXiv preprint arXiv:2107.02137https:\/\/doi.org\/10.48550\/arXiv.2107.02137.","DOI":"10.48550\/arXiv.2107.02137"},{"issue":"3","key":"4990_CR36","doi-asserted-by":"publisher","first-page":"e0281,554","DOI":"10.1371\/journal.pone.0281554","volume":"18","author":"Q Tang","year":"2023","unstructured":"Tang, Q., Luo, Y. W., & Wu, X. D. (2023). Research on the evaluation method of agricultural intelligent robot design solutions. PLoS ONE, 18(3), e0281,554. https:\/\/doi.org\/10.1371\/journal.pone.0281554","journal-title":"PLoS ONE"},{"issue":"3","key":"4990_CR37","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1016\/j.respol.2015.11.010","volume":"45","author":"D Verhoeven","year":"2016","unstructured":"Verhoeven, D., Bakker, J., & Veugelers, R. (2016). Measuring technological novelty with patent-based indicators. Research Policy, 45(3), 707\u2013723. https:\/\/doi.org\/10.1016\/j.respol.2015.11.010","journal-title":"Research Policy"},{"issue":"100","key":"4990_CR38","doi-asserted-by":"publisher","first-page":"941","DOI":"10.1016\/j.aei.2019.100941","volume":"42","author":"J Wang","year":"2019","unstructured":"Wang, J., & Chen, Y. J. (2019). A novelty detection patent mining approach for analyzing technological opportunities. Advanced Engineering Informatics, 42(100), 941. https:\/\/doi.org\/10.1016\/j.aei.2019.100941","journal-title":"Advanced Engineering Informatics"},{"key":"4990_CR39","doi-asserted-by":"publisher","unstructured":"Wang, Z., Zhang, J., & Feng, J., et\u00a0al. (2014). Knowledge graph embedding by translating on hyperplanes. In: Proceedings of the AAAI conference on artificial intelligence. https:\/\/doi.org\/10.1609\/aaai.v28i1.8870","DOI":"10.1609\/aaai.v28i1.8870"},{"issue":"5","key":"4990_CR40","doi-asserted-by":"publisher","first-page":"2803","DOI":"10.1007\/s11192-022-04350-5","volume":"127","author":"Z Wang","year":"2022","unstructured":"Wang, Z., Wang, K., Liu, J., et al. (2022). Measuring the innovation of method knowledge elements in scientific literature. Scientometrics, 127(5), 2803\u20132827. https:\/\/doi.org\/10.1007\/s11192-022-04350-5","journal-title":"Scientometrics"},{"key":"4990_CR41","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4360535","author":"Z Wang","year":"2023","unstructured":"Wang, Z., Zhang, H., Chen, J., et al. (2023). Measuring the novelty of scientific literature through contribution sentence analysis using deep learning and cloud model. SSRN,. https:\/\/doi.org\/10.2139\/ssrn.4360535","journal-title":"SSRN"},{"issue":"4","key":"4990_CR42","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1080\/09537325.2018.1516864","volume":"31","author":"B Yoon","year":"2019","unstructured":"Yoon, B., Park, I., Yun, D., et al. (2019). Exploring promising vacant technology areas in a technology-oriented company based on bibliometric analysis and visualisation. Technology Analysis & Strategic Management, 31(4), 388\u2013405. https:\/\/doi.org\/10.1080\/09537325.2018.1516864","journal-title":"Technology Analysis & Strategic Management"},{"key":"4990_CR43","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1016\/j.cie.2016.04.009","volume":"107","author":"J Yoon","year":"2017","unstructured":"Yoon, J., Seo, W., Coh, B. Y., et al. (2017). Identifying product opportunities using collaborative filtering-based patent analysis. Computers & Industrial Engineering, 107, 376\u2013387. https:\/\/doi.org\/10.1016\/j.cie.2016.04.009","journal-title":"Computers & Industrial Engineering"},{"key":"4990_CR44","doi-asserted-by":"publisher","DOI":"10.1109\/TEM.2021.3074310","author":"G Zanella","year":"2021","unstructured":"Zanella, G., Liu, C. Z., & Choo, K. K. R. (2021). Understanding the trends in blockchain domain through an unsupervised systematic patent analysis. IEEE Transactions on Engineering Management. https:\/\/doi.org\/10.1109\/TEM.2021.3074310","journal-title":"IEEE Transactions on Engineering Management"},{"issue":"3","key":"4990_CR45","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1108\/AJIM-05-2023-507","volume":"75","author":"CZ Zhang","year":"2023","unstructured":"Zhang, C. Z., Mayr, P., Lu, W., et al. (2023). Guest editorial: Extraction and evaluation of knowledge entities in the age of artificial intelligence. Aslib Journal of Information Management, 75(3), 433\u2013437. https:\/\/doi.org\/10.1108\/AJIM-05-2023-507","journal-title":"Aslib Journal of Information Management"},{"issue":"120","key":"4990_CR46","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1016\/j.techfore.2021.120729","volume":"167","author":"H Zhang","year":"2021","unstructured":"Zhang, H., Daim, T., & Zhang, Y. P. (2021). Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of blockchain. Technological Forecasting and Social Change, 167(120), 729. https:\/\/doi.org\/10.1016\/j.techfore.2021.120729","journal-title":"Technological Forecasting and Social Change"},{"key":"4990_CR47","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1693\/1\/012227","author":"J Zhao","year":"2020","unstructured":"Zhao, J., Yang, Y., Zheng, H., et al. (2020). Global agricultural robotics research and development: Trend forecasts. Journal of Physics: Conference Series. https:\/\/doi.org\/10.1088\/1742-6596\/1693\/1\/012227","journal-title":"Journal of Physics: Conference Series"}],"container-title":["Scientometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-024-04990-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11192-024-04990-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-024-04990-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T08:49:07Z","timestamp":1732610947000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11192-024-04990-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,10]]},"references-count":47,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["4990"],"URL":"https:\/\/doi.org\/10.1007\/s11192-024-04990-9","relation":{},"ISSN":["0138-9130","1588-2861"],"issn-type":[{"value":"0138-9130","type":"print"},{"value":"1588-2861","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,10]]},"assertion":[{"value":"23 January 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 March 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 May 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflicts of interest that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}