{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T12:07:30Z","timestamp":1780402050633,"version":"3.54.1"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,11,5]],"date-time":"2024-11-05T00:00:00Z","timestamp":1730764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,11,5]],"date-time":"2024-11-05T00:00:00Z","timestamp":1730764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pers Ubiquit Comput"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Intelligent systems, such as chatbots, are likely to strike new qualities of UX that are not covered by instruments validated for legacy human\u2013computer interaction systems. A new validated tool to evaluate the interaction quality of chatbots is the chatBot Usability Scale (BUS) composed of 11 items in five subscales. The BUS-11 was developed mainly from a psychometric perspective, focusing on ranking people by their responses and also by comparing designs\u2019 properties (designometric). In this article, 3186 observations (BUS-11) on 44 chatbots are used to re-evaluate the inventory looking at its factorial structure, and reliability from the psychometric and designometric perspectives. We were able to identify a simpler factor structure of the scale, as previously thought. With the new structure, the psychometric and the designometric perspectives coincide, with good to excellent reliability. Moreover, we provided standardized scores to interpret the outcomes of the scale. We conclude that BUS-11 is a reliable and universal scale, meaning that it can be used to rank people and designs, whatever the purpose of the research.<\/jats:p>","DOI":"10.1007\/s00779-024-01834-4","type":"journal-article","created":{"date-parts":[[2024,11,5]],"date-time":"2024-11-05T09:04:15Z","timestamp":1730797455000},"page":"1033-1044","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Re-examining the chatBot Usability Scale (BUS-11) to assess user experience with customer relationship management chatbots"],"prefix":"10.1007","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3591-3577","authenticated-orcid":false,"given":"Simone","family":"Borsci","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0240-4087","authenticated-orcid":false,"given":"Martin","family":"Schmettow","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,11,5]]},"reference":[{"key":"1834_CR1","first-page":"75","volume-title":"Speech input and output","author":"M McTear","year":"2016","unstructured":"McTear M, Callejas Z, Griol D (2016) Speech input and output. Springer International Publishing, Cham, pp 75\u201392"},{"issue":"1","key":"1834_CR2","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1145\/365153.365168","volume":"9","author":"J Weizenbaum","year":"1966","unstructured":"Weizenbaum J (1966) ELIZA\u2014a computer program for the study of natural language communication between man and machine. Commun ACM 9(1):36\u201345. https:\/\/doi.org\/10.1145\/365153.365168","journal-title":"Commun ACM"},{"key":"1834_CR3","doi-asserted-by":"publisher","first-page":"100006","DOI":"10.1016\/j.mlwa.2020.100006","volume":"2","author":"E Adamopoulou","year":"2020","unstructured":"Adamopoulou E, Moussiades L (2020) Chatbots: history, technology, and applications. Mach Learn Appl 2:100006. https:\/\/doi.org\/10.1016\/j.mlwa.2020.100006","journal-title":"Mach Learn Appl"},{"issue":"2","key":"1834_CR4","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.intmar.2013.12.002","volume":"28","author":"LD Hollebeek","year":"2014","unstructured":"Hollebeek LD, Glynn MS, Brodie RJ (2014) Consumer brand engagement in social media: conceptualization, scale development and validation. J Interact Marketing 28(2):149\u201365. https:\/\/doi.org\/10.1016\/j.intmar.2013.12.002","journal-title":"J Interact Marketing"},{"key":"1834_CR5","doi-asserted-by":"publisher","first-page":"107329","DOI":"10.1016\/j.chb.2022.107329","volume":"134","author":"H Jiang","year":"2022","unstructured":"Jiang H, Cheng Y, Yang J, Gao S (2022) AI-powered chatbot communication with customers: dialogic interactions, satisfaction, engagement, and customer behavior. Comput Hum Behav 134:107329. https:\/\/doi.org\/10.1016\/j.chb.2022.107329","journal-title":"Comput Hum Behav"},{"issue":"1","key":"1834_CR6","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1186\/s12889-022-13115-x","volume":"22","author":"L He","year":"2022","unstructured":"He L, Basar E, Wiers RW, Antheunis ML, Krahmer E (2022) Can chatbots help to motivate smoking cessation? A study on the effectiveness of motivational interviewing on engagement and therapeutic alliance. BMC Public Health 22(1):726. https:\/\/doi.org\/10.1186\/s12889-022-13115-x","journal-title":"BMC Public Health"},{"issue":"1","key":"1834_CR7","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1111\/jcal.12610","volume":"38","author":"W Huang","year":"2022","unstructured":"Huang W, Hew KF, Fryer LK (2022) Chatbots for language learning\u2014are they really useful? A systematic review of chatbot-supported language learning. J Comput Assist Learn 38(1):237\u2013257. https:\/\/doi.org\/10.1111\/jcal.12610","journal-title":"J Comput Assist Learn"},{"key":"1834_CR8","doi-asserted-by":"publisher","first-page":"103862","DOI":"10.1016\/j.compedu.2020.103862","volume":"151","author":"P Smutny","year":"2020","unstructured":"Smutny P, Schreiberova P (2020) Chatbots for learning: a review of educational chatbots for the Facebook Messenger. Comput Educ 151:103862. https:\/\/doi.org\/10.1016\/j.compedu.2020.103862","journal-title":"Comput Educ"},{"issue":"1","key":"1834_CR9","first-page":"98","volume":"33","author":"S Gupta","year":"2022","unstructured":"Gupta S, Chen Y (2022) Supporting inclusive learning using chatbots? A chatbot-led interview study. J Inf Syst Educ 33(1):98\u2013108","journal-title":"J Inf Syst Educ"},{"key":"1834_CR10","doi-asserted-by":"publisher","unstructured":"Federici S, Mele ML, Bracalenti M, De Filippis ML, Lanzilotti R, Desolda G, et al. (2021) A chatbot solution for eGLU-Box Pro: the usability evaluation platform for Italian public administrations. Theory, Methods and Tools: Thematic Area, HCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event. Proceedings, Part I: Springer, pp 268\u201379. https:\/\/doi.org\/10.1007\/978-3-030-78462-1_20","DOI":"10.1007\/978-3-030-78462-1_20"},{"issue":"2","key":"1834_CR11","doi-asserted-by":"publisher","first-page":"33","DOI":"10.15346\/hc.v8i2.114","volume":"8","author":"M Portela","year":"2021","unstructured":"Portela M (2021) Interfacing participation in citizen science projects with conversational agents. Human Computation 8(2):33\u201353","journal-title":"Human Computation"},{"issue":"1","key":"1834_CR12","doi-asserted-by":"publisher","first-page":"14215","DOI":"10.1038\/s41598-023-41512-8","volume":"13","author":"MF Russe","year":"2023","unstructured":"Russe MF, Fink A, Ngo H, Tran H, Bamberg F, Reisert M et al (2023) Performance of ChatGPT, human radiologists, and context-aware ChatGPT in identifying AO codes from radiology reports. Sci Rep 13(1):14215","journal-title":"Sci Rep"},{"key":"1834_CR13","doi-asserted-by":"publisher","unstructured":"Gallo S, Paterno F, Malizia A (2023) Conversational interfaces in IoT ecosystems: where we are, what is still missing. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia; Vienna, Austria: Association for Computing Machinery, pp 279\u201393. https:\/\/doi.org\/10.1145\/3626705.362777","DOI":"10.1145\/3626705.362777"},{"issue":"12","key":"1834_CR14","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1145\/3588313","volume":"66","author":"A Malizia","year":"2023","unstructured":"Malizia A, Patern\u00f2 F (2023) Why is the current XAI not meeting the expectations? Commun ACM 66(12):20\u201323","journal-title":"Commun ACM"},{"key":"1834_CR15","doi-asserted-by":"publisher","first-page":"55748","DOI":"10.1109\/ACCESS.2023.3282111","volume":"11","author":"Y Ye","year":"2023","unstructured":"Ye Y, You H, Du J (2023) Improved trust in human-robot collaboration with ChatGPT. IEEE Access 11:55748\u201355754. https:\/\/doi.org\/10.1109\/ACCESS.2023.3282111","journal-title":"IEEE Access"},{"issue":"3","key":"1834_CR16","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.intcom.2012.05.001","volume":"24","author":"S Brahnam","year":"2012","unstructured":"Brahnam S, De Angeli A (2012) Gender affordances of conversational agents. Interact Comput 24(3):139\u201353. https:\/\/doi.org\/10.1016\/j.intcom.2012.05.001","journal-title":"Interact Comput"},{"issue":"3","key":"1834_CR17","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/s11948-022-00376-3","volume":"28","author":"F Fossa","year":"2022","unstructured":"Fossa F, Sucameli I (2022) Gender bias and conversational agents: an ethical perspective on social robotics. Sci Eng Ethics 28(3):23. https:\/\/doi.org\/10.1007\/s11948-022-00376-3","journal-title":"Sci Eng Ethics"},{"issue":"1","key":"1834_CR18","doi-asserted-by":"publisher","first-page":"41","DOI":"10.3390\/info13010041","volume":"13","author":"G Caldarini","year":"2022","unstructured":"Caldarini G, Jaf S, McGarry K (2022) A literature survey of recent advances in Chatbots. Information 13(1):41. https:\/\/doi.org\/10.3390\/info13010041","journal-title":"Information"},{"issue":"7","key":"1834_CR19","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1080\/17483107.2020.1775313","volume":"15","author":"S Federici","year":"2020","unstructured":"Federici S, de Filippis ML, Mele ML, Borsci S, Bracalenti M, Gaudino G et al (2020) Inside pandora\u2019s box: a systematic review of the assessment of the perceived quality of chatbots for people with disabilities or special needs. Disabil Rehabil: Assist Technol 15(7):832\u20137. https:\/\/doi.org\/10.1080\/17483107.2020.1775313","journal-title":"Disabil Rehabil: Assist Technol"},{"issue":"4","key":"1834_CR20","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1145\/3085558","volume":"24","author":"A F\u00f8lstad","year":"2017","unstructured":"F\u00f8lstad A, Brandtz\u00e6g PB (2017) Chatbots and the new world of HCI. Interactions 24(4):38\u201342. https:\/\/doi.org\/10.1145\/3085558","journal-title":"Interactions"},{"key":"1834_CR21","doi-asserted-by":"publisher","unstructured":"Walker MA, Litman DJ, Kamm CA, Abella A (1997) PARADISE: a framework for evaluating spoken dialogue agents. arXiv preprint.\u00a0https:\/\/doi.org\/10.48550\/arXiv.cmp-lg\/9704004","DOI":"10.48550\/arXiv.cmp-lg\/9704004"},{"issue":"1","key":"1834_CR22","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/s00779-021-01582-9","volume":"26","author":"S Borsci","year":"2022","unstructured":"Borsci S, Malizia A, Schmettow M, van der Velde F, Tariverdiyeva G, Balaji D et al (2022) The Chatbot Usability Scale: the design and pilot of a usability scale for interaction with AI-based conversational agents. Pers Ubiquit Comput 26(1):95\u2013119. https:\/\/doi.org\/10.1007\/s00779-021-01582-9","journal-title":"Pers Ubiquit Comput"},{"key":"1834_CR23","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/s00779-022-01690-0","volume":"27","author":"S Borsci","year":"2022","unstructured":"Borsci S, Schmettow M, Malizia A, Chamberlain A, Fvd V (2022) Confirmatory factorial analysis of the Chatbot Usability Scale: a multilanguage validation. Pers Ubiquit Comput 27:317\u2013330. https:\/\/doi.org\/10.1007\/s00779-022-01690-0","journal-title":"Pers Ubiquit Comput"},{"key":"1834_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-023-01731-2","author":"S Borsci","year":"2022","unstructured":"Borsci S, Prati E, Federici S, Malizia A, Schmettow M, Chamberlain A (2022) \u201cCiao AI\u201d: the Italian adaptation and validation of the Chatbot Usability Scale. Pers Ubiquit Comput (online first). https:\/\/doi.org\/10.1007\/s00779-023-01731-2","journal-title":"Pers Ubiquit Comput (online first)"},{"issue":"194","key":"1834_CR25","first-page":"4","volume":"189","author":"J Brooke","year":"1996","unstructured":"Brooke J (1996) SUS-A quick and dirty usability scale. Usability Eval Ind 189(194):4\u20137","journal-title":"Usability Eval Ind"},{"key":"1834_CR26","doi-asserted-by":"crossref","unstructured":"Lewis JR, Utesch BS, Maher DE (2013) UMUX-LITE: when there\u2019s no time for the SUS. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; Paris, France: Association for Computing Machinery. p. 2099\u2013102","DOI":"10.1145\/2470654.2481287"},{"issue":"3","key":"1834_CR27","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1007\/s10772-015-9289-1","volume":"18","author":"JR Lewis","year":"2015","unstructured":"Lewis JR, Hardzinski ML (2015) Investigating the psychometric properties of the Speech User Interface Service Quality questionnaire. Int J Speech Technol 18(3):479\u2013487. https:\/\/doi.org\/10.1007\/s10772-015-9289-1","journal-title":"Int J Speech Technol"},{"issue":"3\u20134","key":"1834_CR28","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1017\/S1351324900002497","volume":"6","author":"KS Hone","year":"2000","unstructured":"Hone KS, Graham R (2000) Towards a tool for the subjective assessment of speech system interfaces (SASSI). Nat Lang Eng 6(3\u20134):287\u2013303. https:\/\/doi.org\/10.1017\/S1351324900002497","journal-title":"Nat Lang Eng"},{"issue":"8","key":"1834_CR29","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1080\/10447318.2015.1064648","volume":"31","author":"S Borsci","year":"2015","unstructured":"Borsci S, Federici S, Bacci S, Gnaldi M, Bartolucci F (2015) Assessing user satisfaction in the era of user experience: comparison of the SUS, UMUX, and UMUX-LITE as a function of product experience. Int J Human-Comput Interact 31(8):484\u2013495. https:\/\/doi.org\/10.1080\/10447318.2015.1064648","journal-title":"Int J Human-Comput Interact"},{"key":"1834_CR30","doi-asserted-by":"crossref","unstructured":"Valtolina S, Matamoros RA, Epifania F (2023) editors. Methods for evaluating conversational agents\u2019 communicability, acceptability and accessibility degree. IFIP Conference on Human-Computer Interaction: Springer","DOI":"10.1007\/978-3-031-42283-6_21"},{"key":"1834_CR31","doi-asserted-by":"crossref","unstructured":"De Souza CS (2005) The semiotic engineering of human-computer interaction: MIT press","DOI":"10.7551\/mitpress\/6175.001.0001"},{"key":"1834_CR32","doi-asserted-by":"crossref","unstructured":"Sedoc J, Ippolito D, Kirubarajan A, Thirani J, Ungar L, Callison-Burch C (2019). Chateval: a tool for chatbot evaluation. Proceedings of the 2019 conference of the North American chapter of the Association for Computational Linguistics (demonstrations), pp 60\u201365","DOI":"10.18653\/v1\/N19-4011"},{"key":"1834_CR33","unstructured":"ISO (2018) ISO 9241\u201311 Ergonomic requirements for office work with visual display terminals \u2013 part 11: guidance on usability. Brussels, BE: CEN"},{"key":"1834_CR34","doi-asserted-by":"publisher","unstructured":"You Y, Tsai CH, Li Y, Ma F, Heron C, Gui X (2023) Beyond self-diagnosis: how a chatbot-based symptom checker should respond. ACM Transactions on Computer-Human Interaction 30(4):1\u201344.\u00a0https:\/\/doi.org\/10.1145\/358995","DOI":"10.1145\/358995"},{"key":"1834_CR35","doi-asserted-by":"publisher","unstructured":"Lee KM, Moon Y, Park I, Lee J gill (2022) (2023) Voice orientation of conversational interfaces in vehicles.\u00a0Behav Inform Technol\u00a043(3):433\u2013444. https:\/\/doi.org\/10.1080\/0144929X.2023.2166870","DOI":"10.1080\/0144929X.2023.2166870"},{"issue":"8","key":"1834_CR36","doi-asserted-by":"publisher","first-page":"1061","DOI":"10.3390\/healthcare11081061","volume":"11","author":"K Denecke","year":"2023","unstructured":"Denecke K (2023) Framework for guiding the development of high-quality conversational agents in healthcare. Healthcare 11(8):1061. https:\/\/doi.org\/10.3390\/healthcare11081061","journal-title":"Healthcare"},{"key":"1834_CR37","doi-asserted-by":"crossref","unstructured":"Schmettow M (2021) New statistics for design researchers: a Bayesian workflow in Tidy R. Switzerland: Springer Nature Switzerland","DOI":"10.1007\/978-3-030-46380-9"},{"key":"1834_CR38","doi-asserted-by":"publisher","unstructured":"Bargas-Avila JA, Hornb\u00e6k K (2011) Old wine in new bottles or novel challenges: a critical analysis of empirical studies of user experience. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11). Association for Computing Machinery, New York, NY, USA, pp 2689\u20132698. \nhttps:\/\/doi.org\/10.1145\/1978942.1979336","DOI":"10.1145\/1978942.1979336"},{"key":"1834_CR39","unstructured":"Revelle W (2022) Psych: procedures for psychological, psychometric, and personality research. Evanston, Illinois: Northwestern University. Available from: https:\/\/CRAN.R-project.org\/package=psych"},{"issue":"6","key":"1834_CR40","doi-asserted-by":"publisher","first-page":"10","DOI":"10.18637\/jss.v100.i06","volume":"100","author":"EC Merkle","year":"2021","unstructured":"Merkle EC, Fitzsimmons E, Uanhoro J, Goodrich B (2021) Efficient Bayesian structural equation modeling in Stan. J Stat Softw 100(6):10\u201322. https:\/\/doi.org\/10.18637\/jss.v100.i06","journal-title":"J Stat Softw"},{"issue":"6","key":"1834_CR41","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1007\/s11222-013-9416-2","volume":"24","author":"A Gelman","year":"2014","unstructured":"Gelman A, Hwang J, Vehtari A (2014) Understanding predictive information criteria for Bayesian models. Stat Comput 24(6):997\u20131016. https:\/\/doi.org\/10.1007\/s11222-013-9416-2","journal-title":"Stat Comput"},{"issue":"5","key":"1834_CR42","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1007\/s11222-016-9696-4","volume":"27","author":"A Vehtari","year":"2017","unstructured":"Vehtari A, Gelman A, Gabry J (2017) Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Stat Comput 27(5):1413\u20131432. https:\/\/doi.org\/10.1007\/s11222-016-9696-4","journal-title":"Stat Comput"},{"key":"1834_CR43","doi-asserted-by":"publisher","first-page":"53","DOI":"10.5116\/ijme.4dfb.8dfd","volume":"2","author":"M Tavakol","year":"2011","unstructured":"Tavakol M, Dennick R (2011) Making sense of Cronbach\u2019s alpha. Int J Med Educ 2:53\u201355. https:\/\/doi.org\/10.5116\/ijme.4dfb.8dfd","journal-title":"Int J Med Educ"},{"key":"1834_CR44","doi-asserted-by":"crossref","unstructured":"Lewis JR, Utesch BS, Maher DE (2015) editors. Investigating the correspondence between UMUX-LITE and SUS scores. Design, User Experience, and Usability: Design Discourse: 4th International Conference, DUXU 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2\u20137, 2015, Proceedings, Part I: Springer","DOI":"10.1007\/978-3-319-20886-2_20"},{"key":"1834_CR45","unstructured":"Berkman MI, Karahoca D (2016) Re-assessing the usability metric for user experience (UMUX) scale. J\u00a0Usability Stud\u00a011(3):89\u2013109"},{"key":"1834_CR46","doi-asserted-by":"publisher","first-page":"106227","DOI":"10.1016\/j.chb.2019.106227","volume":"106","author":"V Distler","year":"2020","unstructured":"Distler V, Lallemand C, Koenig V (2020) How acceptable is this? How user experience factors can broaden our understanding of the acceptance of privacy trade-offs. Comput Human Behav 106:106227. https:\/\/doi.org\/10.1016\/j.chb.2019.106227","journal-title":"Comput Human Behav"},{"issue":"3","key":"1834_CR47","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1080\/08824096.2023.2212899","volume":"40","author":"W Liu","year":"2023","unstructured":"Liu W, Xu K, Yao MZ (2023) \u201cCan you tell me about yourself?\u201d The impacts of chatbot names and communication contexts on users\u2019 willingness to self-disclose information in human-machine conversations. Commun Res Rep 40(3):122\u2013133. https:\/\/doi.org\/10.1080\/08824096.2023.2212899","journal-title":"Commun Res Rep"},{"issue":"19","key":"1834_CR48","doi-asserted-by":"publisher","first-page":"e6426","DOI":"10.1002\/cpe.6426","volume":"33","author":"M Hasal","year":"2021","unstructured":"Hasal M, Nowakov\u00e1 J, Ahmed Saghair K, Abdulla H, Sn\u00e1\u0161el V, Ogiela L (2021) Chatbots: security, privacy, data protection, and social aspects. Concurr Comput: Pract Exp 33(19):e6426. https:\/\/doi.org\/10.1002\/cpe.6426","journal-title":"Concurr Comput: Pract Exp"},{"issue":"3","key":"1834_CR49","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1177\/09593543211017671","volume":"32","author":"J Michell","year":"2022","unstructured":"Michell J (2022) \u201cThe art of imposing measurement upon the mind\u201d: Sir Francis Galton and the genesis of the psychometric paradigm. Theory Psychol 32(3):375\u2013400. https:\/\/doi.org\/10.1177\/09593543211017671","journal-title":"Theory Psychol"}],"container-title":["Personal and Ubiquitous Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-024-01834-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00779-024-01834-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-024-01834-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,28]],"date-time":"2024-12-28T08:05:27Z","timestamp":1735373127000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00779-024-01834-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,5]]},"references-count":49,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["1834"],"URL":"https:\/\/doi.org\/10.1007\/s00779-024-01834-4","relation":{},"ISSN":["1617-4909","1617-4917"],"issn-type":[{"value":"1617-4909","type":"print"},{"value":"1617-4917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,5]]},"assertion":[{"value":"7 December 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 October 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 November 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 no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}