{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,6]],"date-time":"2025-07-06T10:41:49Z","timestamp":1751798509600,"version":"3.37.3"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"7-8","license":[{"start":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T00:00:00Z","timestamp":1598832000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T00:00:00Z","timestamp":1598832000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1007\/s00138-020-01112-2","type":"journal-article","created":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T13:44:28Z","timestamp":1598881468000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Head and camera rotation invariant eye tracking algorithm based on segmented group method of data handling"],"prefix":"10.1007","volume":"31","author":[{"given":"Mohammad Reza","family":"Mohebbian","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6269-785X","authenticated-orcid":false,"given":"Javad","family":"Rasti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,8,31]]},"reference":[{"issue":"2","key":"1112_CR1","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1509\/jmkg.68.2.36.27794","volume":"68","author":"R Pieters","year":"2004","unstructured":"Pieters, R., Wedel, M.: Attention capture and transfer in advertising: brand, pictorial, and text-size effects. J. Mark. 68(2), 36\u201350 (2004)","journal-title":"J. Mark."},{"key":"1112_CR2","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/S0079-6123(09)01322-3","volume":"174","author":"JN Vickers","year":"2009","unstructured":"Vickers, J.N.: Advances in coupling perception and action: the quiet eye as a bidirectional link between gaze, attention, and action. Prog. Brain Res. 174, 279\u2013288 (2009)","journal-title":"Prog. Brain Res."},{"key":"1112_CR3","doi-asserted-by":"crossref","unstructured":"Strandvall, T.: Eye tracking in human-computer interaction and usability research. In: IFIP Conference on Human\u2013Computer Interaction. Springer (2009)","DOI":"10.1007\/978-3-642-03658-3_119"},{"key":"1112_CR4","doi-asserted-by":"crossref","unstructured":"Holland, C., Komogortsev, O.V.: Biometric identification via eye movement scanpaths in reading. In: Biometrics (IJCB), pp. 1\u20138. IEEE (2011)","DOI":"10.1109\/IJCB.2011.6117536"},{"key":"1112_CR5","volume-title":"Designing with the Mind in Mind: Simple Guide to Understanding User Interface Design Guidelines","author":"J Johnson","year":"2013","unstructured":"Johnson, J.: Designing with the Mind in Mind: Simple Guide to Understanding User Interface Design Guidelines. Elsevier, Amsterdam (2013)"},{"issue":"8","key":"1112_CR6","doi-asserted-by":"publisher","first-page":"1320","DOI":"10.1162\/0898929042304787","volume":"16","author":"T Farroni","year":"2004","unstructured":"Farroni, T., Johnson, M.H., Csibra, G.: Mechanisms of eye gaze perception during infancy. J. Cogn. Neurosci. 16(8), 1320\u20131326 (2004)","journal-title":"J. Cogn. Neurosci."},{"issue":"6","key":"1112_CR7","doi-asserted-by":"publisher","first-page":"7155","DOI":"10.1007\/s11042-018-6490-7","volume":"78","author":"HS Yoon","year":"2019","unstructured":"Yoon, H.S., et al.: Driver\u2019s eye-based gaze tracking system by one-point calibration. Multimed. Tools Appl. 78(6), 7155\u20137179 (2019)","journal-title":"Multimed. Tools Appl."},{"key":"1112_CR8","doi-asserted-by":"publisher","first-page":"93448","DOI":"10.1109\/ACCESS.2019.2928339","volume":"7","author":"HS Yoon","year":"2019","unstructured":"Yoon, H.S., et al.: Driver Gaze detection based on deep residual networks using the combined single image of dual near-infrared cameras. IEEE Access 7, 93448\u201393461 (2019)","journal-title":"IEEE Access"},{"key":"1112_CR9","doi-asserted-by":"publisher","first-page":"558","DOI":"10.1109\/ACCESS.2016.2520093","volume":"4","author":"MA Eid","year":"2016","unstructured":"Eid, M.A., Giakoumidis, N., El Saddik, A.: A novel eye-gaze-controlled wheelchair system for navigating unknown environments: case study with a person with ALS. IEEE Access 4, 558\u2013573 (2016)","journal-title":"IEEE Access"},{"key":"1112_CR10","volume-title":"Readings in Educational Psychology","author":"CE Skinner","year":"1937","unstructured":"Skinner, C.E., Buswell, G.T., Corey, S.M.: Readings in Educational Psychology. Farrar & Rinehart, Incorporated, New York (1937)"},{"key":"1112_CR11","unstructured":"Ebisawa, Y., Satoh, S.I.: Effectiveness of pupil area detection technique using two light sources and image difference method. In: Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ (1993)"},{"key":"1112_CR12","doi-asserted-by":"crossref","unstructured":"Ji, Q., Yang, X.: Real time visual cues extraction for monitoring driver vigilance. In: Computer Vision Systems: Second International Workshop, ICVS 2001 Vancouver, Canada, July 7\u20138, 2001 Proceedings, B. Schiele and G. Sagerer, Editors, pp. 107\u2013124. Springer, Berlin (2001)","DOI":"10.1007\/3-540-48222-9_8"},{"issue":"1","key":"1112_CR13","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.cviu.2004.07.012","volume":"98","author":"Z Zhu","year":"2005","unstructured":"Zhu, Z., Ji, Q.: Robust real-time eye detection and tracking under variable lighting conditions and various face orientations. Comput. Vis. Image Underst. 98(1), 124\u2013154 (2005)","journal-title":"Comput. Vis. Image Underst."},{"issue":"5","key":"1112_CR14","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1007\/s00138-008-0129-z","volume":"20","author":"EC Lee","year":"2009","unstructured":"Lee, E.C., Park, K.R.: A robust eye gaze tracking method based on a virtual eyeball model. Mach. Vis. Appl. 20(5), 319\u2013337 (2009)","journal-title":"Mach. Vis. Appl."},{"issue":"4","key":"1112_CR15","doi-asserted-by":"publisher","first-page":"1150","DOI":"10.3758\/BRM.40.4.1150","volume":"40","author":"A Vo\u00dfk\u00fchler","year":"2008","unstructured":"Vo\u00dfk\u00fchler, A., et al.: OGAMA (Open Gaze and Mouse Analyzer): open-source software designed to analyze eye and mouse movements in slideshow study designs. Behav. Res. Methods 40(4), 1150\u20131162 (2008)","journal-title":"Behav. Res. Methods"},{"key":"1112_CR16","doi-asserted-by":"crossref","unstructured":"Kassner, M., Patera, W., Bulling, A.: Pupil: an open source platform for pervasive eye tracking and mobile gaze-based interaction. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. ACM (2014)","DOI":"10.1145\/2638728.2641695"},{"key":"1112_CR17","doi-asserted-by":"crossref","unstructured":"Draelos, M., et al.: Intel realsense\u2009=\u2009real low cost gaze. In: 2015 IEEE International Conference on Image Processing (ICIP). IEEE (2015)","DOI":"10.1109\/ICIP.2015.7351256"},{"issue":"3","key":"1112_CR18","first-page":"2","volume":"16","author":"A Clemotte","year":"2014","unstructured":"Clemotte, A., et al.: Accuracy and precision of the Tobii X2-30 eye-tracking under non ideal conditions. Eye 16(3), 2 (2014)","journal-title":"Eye"},{"key":"1112_CR19","doi-asserted-by":"crossref","unstructured":"Sewell, W., Komogortsev, O.: Real-time eye gaze tracking with an unmodified commodity webcam employing a neural network. In: CHI\u201910 Extended Abstracts on Human Factors in Computing Systems. ACM (2010)","DOI":"10.1145\/1753846.1754048"},{"issue":"2","key":"1112_CR20","doi-asserted-by":"publisher","first-page":"802","DOI":"10.1109\/TIP.2011.2162740","volume":"21","author":"R Valenti","year":"2012","unstructured":"Valenti, R., Sebe, N., Gevers, T.: Combining head pose and eye location information for gaze estimation. IEEE Trans. Image Process. 21(2), 802\u2013815 (2012)","journal-title":"IEEE Trans. Image Process."},{"key":"1112_CR21","doi-asserted-by":"crossref","unstructured":"Huynh, T.-H.: A new eye gaze detection algorithm using PCA features and recurrent neural networks. In: 2013 IEEE Symposium on Computational Intelligence in Control and Automation (CICA). IEEE (2013)","DOI":"10.1109\/CICA.2013.6611659"},{"key":"1112_CR22","doi-asserted-by":"crossref","unstructured":"Smith, B.A., et al.; Gaze locking: passive eye contact detection for human-object interaction. In: Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology. ACM (2013)","DOI":"10.1145\/2501988.2501994"},{"key":"1112_CR23","doi-asserted-by":"crossref","unstructured":"Xiong, X., et al.: Eye gaze tracking using an RGBD camera: a comparison with a RGB solution. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, pp. 1113\u20131121. ACM, Seattle, Washington (2014)","DOI":"10.1145\/2638728.2641694"},{"issue":"3","key":"1112_CR24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.16910\/jemr.7.3.3","volume":"7","author":"JJ Bengoechea","year":"2014","unstructured":"Bengoechea, J.J., et al.: Evaluation of accurate eye corner detection methods for gaze estimation. J. Eye Mov. Res. 7(3), 1\u20138 (2014)","journal-title":"J. Eye Mov. Res."},{"issue":"7","key":"1112_CR25","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1049\/iet-cvi.2015.0316","volume":"10","author":"A George","year":"2016","unstructured":"George, A., Routray, A.: Fast and accurate algorithm for eye localisation for gaze tracking in low-resolution images. IET Comput. Vis. 10(7), 660\u2013669 (2016)","journal-title":"IET Comput. Vis."},{"key":"1112_CR26","doi-asserted-by":"crossref","unstructured":"Park, S., Spurr, A., Hilliges, O.: Deep pictorial gaze estimation. In: Proceedings of the European Conference on Computer Vision (ECCV) (2018)","DOI":"10.1007\/978-3-030-01261-8_44"},{"key":"1112_CR27","doi-asserted-by":"crossref","unstructured":"Kato, T., et al.: Gaze region estimation algorithm without calibration using convolutional neural network. In: Proceedings of the 7th ACIS International Conference on Applied Computing and Information Technology. ACM (2019)","DOI":"10.1145\/3325291.3325367"},{"key":"1112_CR28","doi-asserted-by":"crossref","unstructured":"Reddy, T.K., Gupta, V., Behera, L.: Autoencoding convolutional representations for real-time eye-gaze detection. In: Computational Intelligence: Theories, Applications and Future Directions-Volume II, pp. 229\u2013238. Springer (2019)","DOI":"10.1007\/978-981-13-1135-2_18"},{"key":"1112_CR29","doi-asserted-by":"crossref","unstructured":"Wang, K., Su, H., Ji, Q.: Neuro-inspired eye tracking with eye movement dynamics. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2019)","DOI":"10.1109\/CVPR.2019.01006"},{"key":"1112_CR30","doi-asserted-by":"crossref","unstructured":"Yang, L., et al.: A dual-cameras-based driver gaze mapping system with an application on non-driving activities monitoring. IEEE Trans. Intell. Transp. Syst. 1\u201310 (2019)","DOI":"10.1109\/TITS.2019.2939676"},{"key":"1112_CR31","volume-title":"The Psychology and Pedagogy of Reading: With a Review of the History of Reading and Writing and of Methods, Text, and Hygiene of Reading","author":"EB Huey","year":"1908","unstructured":"Huey, E.B.: The Psychology and Pedagogy of Reading: With a Review of the History of Reading and Writing and of Methods, Text, and Hygiene of Reading. Macmillan, New York (1908)"},{"issue":"4","key":"1112_CR32","first-page":"25","volume":"9","author":"A Villanueva","year":"2013","unstructured":"Villanueva, A., et al.: Hybrid method based on topography for robust detection of iris center and eye corners. ACM Trans. Multimed. Comput. Commun. Appl. (TOMM) 9(4), 25 (2013)","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl. (TOMM)"},{"key":"1112_CR33","doi-asserted-by":"crossref","unstructured":"Jyoti, S., Dhall, a.: Automatic eye gaze estimation using geometric & texture-based networks. In: 2018 24th International Conference on Pattern Recognition (ICPR). IEEE (2018)","DOI":"10.1109\/ICPR.2018.8545162"},{"key":"1112_CR34","doi-asserted-by":"crossref","unstructured":"Wood, E., et al.: A 3D morphable eye region model for gaze estimation. In: European Conference on Computer Vision. Springer (2016)","DOI":"10.1007\/978-3-319-46448-0_18"},{"key":"1112_CR35","unstructured":"Viola, P., Jones, M.J.: Rapid object detection using a boosted cascade of simple features. In: Computer Vision and Pattern Recognition, pp. 137\u2013154. IEEE (2004)"},{"issue":"2","key":"1112_CR36","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1023\/B:VISI.0000013087.49260.fb","volume":"57","author":"P Viola","year":"2004","unstructured":"Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137\u2013154 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"1112_CR37","unstructured":"Lienhart, R., Maydt, J.: An extended set of haar-like features for rapid object detection. In: Proceedings. 2002 International Conference on Image Processing. 2002. IEEE (2002)"},{"key":"1112_CR38","unstructured":"Messom, C., Barczak, A.: Fast and efficient rotated haar-like features using rotated integral images. In: Australian Conference on Robotics and Automation (2006)"},{"issue":"10","key":"1112_CR39","first-page":"2365","volume":"7","author":"X Zhang","year":"2012","unstructured":"Zhang, X., et al.: Eye location based on Adaboost and random forests. J. Softw. 7(10), 2365\u20132371 (2012)","journal-title":"J. Softw."},{"key":"1112_CR40","first-page":"25","volume":"8","author":"W Xu","year":"2013","unstructured":"Xu, W., Lee, E.-J.: Eye detection and tracking using rectangle features and integrated eye tracker by web camera. Int. J. Multimed. Ubiquitous Eng. 8, 25\u201334 (2013)","journal-title":"Int. J. Multimed. Ubiquitous Eng."},{"key":"1112_CR41","first-page":"527","volume":"5","author":"A Ivakhnenko","year":"1995","unstructured":"Ivakhnenko, A., Ivakhnenko, G.: The review of problems solvable by algorithms of the group method of data handling (GMDH). Pattern Recognit. Image Anal. 5, 527\u2013535 (1995)","journal-title":"Pattern Recognit. Image Anal."},{"issue":"1","key":"1112_CR42","first-page":"175","volume":"4","author":"T Kondo","year":"2008","unstructured":"Kondo, T., Ueno, J.: Multi-layered GMDH-type neural network self-selecting optimum neural network architecture and its application to 3-dimensional medical image recognition of blood vessels. Int. J. Innov. Comput. Inf. Control 4(1), 175\u2013187 (2008)","journal-title":"Int. J. Innov. Comput. Inf. Control"},{"key":"1112_CR43","unstructured":"Kondo, T., Pandya, A.S., Zurada, J.M.: GMDH-type neural networks and their application to the medical image recognition of the lungs. In: 38th Annual Conference Proceedings of the SICE Annual, 1999. IEEE (1999)"},{"issue":"3","key":"1112_CR44","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1162\/neco.1991.3.3.375","volume":"3","author":"AD Back","year":"1991","unstructured":"Back, A.D., Tsoi, A.C.: FIR and IIR synapses, a new neural network architecture for time series modeling. Neural Comput. 3(3), 375\u2013385 (1991)","journal-title":"Neural Comput."},{"key":"1112_CR45","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.csbj.2018.02.009","volume":"16","author":"HR Marateb","year":"2018","unstructured":"Marateb, H.R., et al.: Prediction of dyslipidemia using gene mutations, family history of diseases and anthropometric indicators in children and adolescents: the CASPIAN-III study. Comput. Struct. Biotechnol. J. 16, 121\u2013130 (2018)","journal-title":"Comput. Struct. Biotechnol. J."},{"issue":"1\u20134","key":"1112_CR46","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1007\/s00170-014-5835-2","volume":"73","author":"F Rayegani","year":"2014","unstructured":"Rayegani, F., Onwubolu, G.C.: Fused deposition modelling (FDM) process parameter prediction and optimization using group method for data handling (GMDH) and differential evolution (DE). Int. J. Adv. Manuf. Technol. 73(1\u20134), 509\u2013519 (2014)","journal-title":"Int. J. Adv. Manuf. Technol."},{"issue":"8","key":"1112_CR47","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1016\/j.knosys.2010.05.007","volume":"23","author":"P Ravisankar","year":"2010","unstructured":"Ravisankar, P., Ravi, V.: Financial distress prediction in banks using group method of data handling neural network, counter propagation neural network and fuzzy ARTMAP. Knowl. Based Syst. 23(8), 823\u2013831 (2010)","journal-title":"Knowl. Based Syst."},{"issue":"3\u20134","key":"1112_CR48","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/j.geoderma.2004.05.007","volume":"124","author":"F Ungaro","year":"2005","unstructured":"Ungaro, F., Calzolari, C., Busoni, E.: Development of pedotransfer functions using a group method of data handling for the soil of the Pianura Padano-Veneta region of North Italy: water retention properties. Geoderma 124(3\u20134), 293\u2013317 (2005)","journal-title":"Geoderma"},{"issue":"13","key":"1112_CR49","doi-asserted-by":"publisher","first-page":"2262","DOI":"10.1002\/sim.5639","volume":"32","author":"H Binder","year":"2013","unstructured":"Binder, H., Sauerbrei, W., Royston, P.: Comparison between splines and fractional polynomials for multivariable model building with continuous covariates: a simulation study with continuous response. Stat. Med. 32(13), 2262\u20132277 (2013)","journal-title":"Stat. Med."},{"key":"1112_CR50","doi-asserted-by":"crossref","unstructured":"Ramsay, J.: A functional approach to modeling test data. In: Handbook of Modern Item Response Theory, pp. 381\u2013394. Springer (1997)","DOI":"10.1007\/978-1-4757-2691-6_22"},{"key":"1112_CR51","doi-asserted-by":"crossref","unstructured":"Doynov, P., Derakhshani, R.: A standoff system for noncooperative ocular biometrics. In: 2012 IEEE Conference on Technologies for Homeland Security (HST). IEEE (2012)","DOI":"10.1109\/THS.2012.6459840"},{"key":"1112_CR52","unstructured":"Venkateswarlu, R.: Eye gaze estimation from a single image of one eye. In: Ninth IEEE International Conference on Computer Vision, 2003. Proceedings. IEEE (2003)"},{"issue":"1","key":"1112_CR53","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TCSVT.2003.818350","volume":"14","author":"J Daugman","year":"2004","unstructured":"Daugman, J.: How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14(1), 21\u201330 (2004)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"9","key":"1112_CR54","doi-asserted-by":"publisher","first-page":"1785","DOI":"10.1109\/TPAMI.2011.251","volume":"34","author":"R Valenti","year":"2012","unstructured":"Valenti, R., Gevers, T.: Accurate eye center location through invariant isocentric patterns. IEEE Trans. Pattern Anal. Mach. Intell. 34(9), 1785\u20131798 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"1112_CR55","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1109\/TCE.2013.6531125","volume":"59","author":"S-J Baek","year":"2013","unstructured":"Baek, S.-J., et al.: Eyeball model-based iris center localization for visible image-based eye-gaze tracking systems. IEEE Trans. Consum. Electron. 59(2), 415\u2013421 (2013)","journal-title":"IEEE Trans. Consum. Electron."},{"issue":"3","key":"1112_CR56","doi-asserted-by":"publisher","first-page":"349","DOI":"10.4310\/SII.2009.v2.n3.a8","volume":"2","author":"J Zhu","year":"2009","unstructured":"Zhu, J., et al.: Multi-class adaboost. Stat. Interface 2(3), 349\u2013360 (2009)","journal-title":"Stat. Interface"},{"key":"1112_CR57","doi-asserted-by":"publisher","DOI":"10.1108\/K-02-2015-0057","volume-title":"White Box, Black Box and Self-Organization","author":"K Kasianiuk","year":"2016","unstructured":"Kasianiuk, K.: White Box, Black Box and Self-Organization. Kybernetes, London (2016)"},{"issue":"1","key":"1112_CR58","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.cviu.2004.07.008","volume":"98","author":"J-G Wang","year":"2005","unstructured":"Wang, J.-G., Sung, E., Venkateswarlu, R.: Estimating the eye gaze from one eye. Comput. Vis. Image Underst. 98(1), 83\u2013103 (2005)","journal-title":"Comput. Vis. Image Underst."},{"issue":"1","key":"1112_CR59","first-page":"31","volume":"58","author":"MA Baig","year":"2019","unstructured":"Baig, M.A., Munir, R., Munir, W.: Computer vision syndrome: a rising occupation hazard. Pak. J. Med. Res. 58(1), 31 (2019)","journal-title":"Pak. J. Med. Res."}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-020-01112-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00138-020-01112-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-020-01112-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T22:06:56Z","timestamp":1723500416000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00138-020-01112-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,31]]},"references-count":59,"journal-issue":{"issue":"7-8","published-print":{"date-parts":[[2020,11]]}},"alternative-id":["1112"],"URL":"https:\/\/doi.org\/10.1007\/s00138-020-01112-2","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"type":"print","value":"0932-8092"},{"type":"electronic","value":"1432-1769"}],"subject":[],"published":{"date-parts":[[2020,8,31]]},"assertion":[{"value":"7 June 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 June 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 August 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 August 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"59"}}