{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T12:12:49Z","timestamp":1764936769143,"version":"3.37.3"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2015,7,2]],"date-time":"2015-07-02T00:00:00Z","timestamp":1435795200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"crossref","award":["EP\/K031953\/1"],"award-info":[{"award-number":["EP\/K031953\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/K031953\/1"],"award-info":[{"award-number":["EP\/K031953\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Data Min Knowl Disc"],"published-print":{"date-parts":[[2015,9]]},"DOI":"10.1007\/s10618-015-0427-9","type":"journal-article","created":{"date-parts":[[2015,7,1]],"date-time":"2015-07-01T07:36:27Z","timestamp":1435736187000},"page":"1434-1457","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Assessing the impact of a health intervention via user-generated Internet content"],"prefix":"10.1007","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8555-2063","authenticated-orcid":false,"given":"Vasileios","family":"Lampos","sequence":"first","affiliation":[]},{"given":"Elad","family":"Yom-Tov","sequence":"additional","affiliation":[]},{"given":"Richard","family":"Pebody","sequence":"additional","affiliation":[]},{"given":"Ingemar J.","family":"Cox","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,7,2]]},"reference":[{"key":"427_CR1","doi-asserted-by":"crossref","unstructured":"Bach FR (2008) Bolasso: model consistent lasso estimation through the bootstrap. In: Proceedings of the 25th International Conference on Machine Learning, pp 33\u201340","DOI":"10.1145\/1390156.1390161"},{"issue":"23","key":"427_CR2","doi-asserted-by":"crossref","first-page":"3459","DOI":"10.1016\/j.vaccine.2012.03.019","volume":"30","author":"M Baguelin","year":"2012","unstructured":"Baguelin M, Jit M, Miller E, Edmunds WJ (2012) Health and economic impact of the seasonal influenza vaccination programme in England. Vaccine 30(23):3459\u20133462","journal-title":"Vaccine"},{"issue":"5418","key":"427_CR3","doi-asserted-by":"crossref","first-page":"1311","DOI":"10.1126\/science.284.5418.1311","volume":"284","author":"S Binder","year":"1999","unstructured":"Binder S, Levitt AM, Sacks JJ, Hughes JM (1999) Emerging infectious diseases: public health issues for the 21st Century. Science 284(5418):1311\u20131313","journal-title":"Science"},{"issue":"5","key":"427_CR4","doi-asserted-by":"crossref","first-page":"1166","DOI":"10.1086\/317425","volume":"31","author":"G Boivin","year":"2000","unstructured":"Boivin G, Hardy I, Tellier G, Maziade J (2000) Predicting influenza infections during epidemics with use of a clinical case definition. Clin Infect Dis 31(5):1166\u20131169","journal-title":"Clin Infect Dis"},{"issue":"1","key":"427_CR5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jocs.2010.12.007","volume":"2","author":"J Bollen","year":"2011","unstructured":"Bollen J, Mao H, Zeng X (2011) Twitter mood predicts the stock market. J Comput Sci 2(1):1\u20138","journal-title":"J Comput Sci"},{"issue":"5","key":"427_CR6","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.puhe.2010.12.007","volume":"125","author":"S Briand","year":"2011","unstructured":"Briand S, Mounts A, Chamberland M (2011) Challenges of global surveillance during an influenza pandemic. Public Health 125(5):247\u2013256","journal-title":"Public Health"},{"issue":"11","key":"427_CR7","doi-asserted-by":"crossref","first-page":"e14118","DOI":"10.1371\/journal.pone.0014118","volume":"5","author":"C Chew","year":"2010","unstructured":"Chew C, Eysenbach G (2010) Pandemics in the age of Twitter: content analysis of tweets during the 2009 H1N1 outbreak. PLoS ONE 5(11):e14118","journal-title":"PLoS ONE"},{"issue":"6797","key":"427_CR8","doi-asserted-by":"crossref","first-page":"762","DOI":"10.1038\/35021206","volume":"406","author":"ML Cohen","year":"2000","unstructured":"Cohen ML (2000) Changing patterns of infectious disease. Nature 406(6797):762\u2013767","journal-title":"Nature"},{"key":"427_CR9","unstructured":"Cohn T, Specia L (2013) Modelling annotator bias with multi-task gaussian processes: an application to machine translation quality estimation. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pp 32\u201342"},{"key":"427_CR10","doi-asserted-by":"crossref","unstructured":"Cohn T, Preo\u0163iuc-Pietro D, Lawrence N (2014) Gaussian processes for natural language processing. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Tutorials, pp 1\u20133","DOI":"10.3115\/v1\/P14-6001"},{"issue":"8","key":"427_CR11","doi-asserted-by":"crossref","first-page":"e23610","DOI":"10.1371\/journal.pone.0023610","volume":"6","author":"S Cook","year":"2011","unstructured":"Cook S, Conrad C, Fowlkes AL, Mohebbi MH (2011) Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic. PLoS ONE 6(8):e23610","journal-title":"PLoS ONE"},{"key":"427_CR12","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511801389","volume-title":"An introduction to support vector machines and other Kernel-based learning methods","author":"N Cristianini","year":"2000","unstructured":"Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other Kernel-based learning methods. Cambridge University Press, Cambridge"},{"key":"427_CR13","doi-asserted-by":"crossref","unstructured":"Culotta A (2010) Towards detecting influenza epidemics by analyzing twitter messages. In: Proceedings of the 1st Workshop on Social Media Analytics, pp 115\u2013122","DOI":"10.1145\/1964858.1964874"},{"issue":"1","key":"427_CR14","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1007\/s10579-012-9185-0","volume":"47","author":"A Culotta","year":"2013","unstructured":"Culotta A (2013) Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages. Lang Resour Eval 47(1):217\u2013238","journal-title":"Lang Resour Eval"},{"key":"427_CR15","first-page":"226","volume":"24","author":"DK Duvenaud","year":"2011","unstructured":"Duvenaud DK, Nickisch H, Rasmussen CE (2011) Additive Gaussian processes. Adv Neural Inf Process Syst 24:226\u2013234","journal-title":"Adv Neural Inf Process Syst"},{"key":"427_CR16","doi-asserted-by":"crossref","DOI":"10.1201\/9780429246593","volume-title":"An introduction to the bootstrap","author":"B Efron","year":"1994","unstructured":"Efron B, Tibshirani RJ (1994) An introduction to the bootstrap. CRC Press, Boca Raton"},{"issue":"2","key":"427_CR17","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1214\/009053604000000067","volume":"32","author":"B Efron","year":"2004","unstructured":"Efron B, Hastie T, Johnstone I, Tibshirani R (2004) Least angle regression. Ann Stat 32(2):407\u2013499","journal-title":"Ann Stat"},{"key":"427_CR18","unstructured":"Eysenbach G (2006) Infodemiology: tracking flu-related searches on the web for syndromic surveillance. In: AMIA Annual Symposium Proceedings, pp 244\u2013248"},{"issue":"7232","key":"427_CR19","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1038\/nature07634","volume":"457","author":"J Ginsberg","year":"2009","unstructured":"Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L (2009) Detecting influenza epidemics using search engine query data. Nature 457(7232):1012\u20131014","journal-title":"Nature"},{"key":"427_CR20","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The elements of statistical learning","author":"T Hastie","year":"2009","unstructured":"Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning. Springer, New York"},{"issue":"6","key":"427_CR21","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/S2213-2600(14)70034-7","volume":"2","author":"AC Hayward","year":"2014","unstructured":"Hayward AC, Fragaszy EB, Bermingham A, Wang L, Copas A, Edmunds WJ et al (2014) Comparative community burden and severity of seasonal and pandemic influenza: results of the Flu Watch cohort study. Lancet Respir Med 2(6):445\u2013454","journal-title":"Lancet Respir Med"},{"key":"427_CR22","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1080\/00401706.1970.10488634","volume":"12","author":"AE Hoerl","year":"1970","unstructured":"Hoerl AE, Kennard RW (1970) Ridge regression: biased estimation for nonorthogonal problems. Technometrics 12:55\u201367","journal-title":"Technometrics"},{"key":"427_CR23","unstructured":"Ipsos MORI (2014) MediaCT Tech Tracker Q1. Technical Report"},{"issue":"7181","key":"427_CR24","doi-asserted-by":"crossref","first-page":"990","DOI":"10.1038\/nature06536","volume":"451","author":"KE Jones","year":"2008","unstructured":"Jones KE, Patel NG, Levy MA, Storeygard A, Balk D et al (2008) Global trends in emerging infectious diseases. Nature 451(7181):990\u2013993","journal-title":"Nature"},{"key":"427_CR25","unstructured":"Lamb A, Paul MJ, Dredze M (2013) Separating fact from fear: tracking flu infections on Twitter. In: Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics\u2014Human Language Technologies, pp 789\u2013795"},{"key":"427_CR26","doi-asserted-by":"crossref","unstructured":"Lambert D, Pregibon D (2008) online effects of offline ads. In: Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising, pp 10\u201317","DOI":"10.1145\/1517472.1517474"},{"key":"427_CR27","unstructured":"Lampos V (2012) Detecting events and patterns in large-scale user generated textual streams with statistical learning methods. Ph.D. Thesis, University of Bristol, Bristol"},{"key":"427_CR28","doi-asserted-by":"crossref","unstructured":"Lampos V, Cristianini N (2010) Tracking the flu pandemic by monitoring the Social Web. In: Proceedings of the 2nd International Workshop on Cognitive Information Processing, pp 411\u2013416","DOI":"10.1109\/CIP.2010.5604088"},{"issue":"4","key":"427_CR29","doi-asserted-by":"crossref","first-page":"72:1","DOI":"10.1145\/2337542.2337557","volume":"3","author":"V Lampos","year":"2012","unstructured":"Lampos V, Cristianini N (2012) Nowcasting events from the social web with statistical learning. ACM Trans Intell Syst Technol 3(4):72:1\u201372:22","journal-title":"ACM Trans Intell Syst Technol"},{"key":"427_CR30","doi-asserted-by":"crossref","unstructured":"Lampos V, De Bie T, Cristianini N (2010) Flu detector: tracking epidemics on Twitter. In: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, pp 599\u2013602","DOI":"10.1007\/978-3-642-15939-8_42"},{"key":"427_CR31","unstructured":"Lampos V, Preo\u0163iuc-Pietro D, Cohn T (2013) A user-centric model of voting intention from Social Media. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pp 993\u20131003"},{"key":"427_CR32","doi-asserted-by":"crossref","unstructured":"Lampos V, Aletras N, Preo\u0163iuc-Pietro D, Cohn T (2014) Predicting and Characterising User Impact on Twitter. In: Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, pp 405\u2013413","DOI":"10.3115\/v1\/E14-1043"},{"issue":"6176","key":"427_CR33","doi-asserted-by":"crossref","first-page":"1203","DOI":"10.1126\/science.1248506","volume":"343","author":"D Lazer","year":"2014","unstructured":"Lazer D, Kennedy R, King G, Vespignani A (2014) The parable of Google flu: traps in big data analysis. Science 343(6176):1203\u20131205","journal-title":"Science"},{"key":"427_CR34","doi-asserted-by":"crossref","unstructured":"Leetaru K, Wang S, Cao G, Padmanabhan A, Shook E (2013) Mapping the global Twitter heartbeat: the geography of Twitter. First Monday 18(5). doi: 10.5210\/fm.v18i5.4366","DOI":"10.5210\/fm.v18i5.4366"},{"key":"427_CR35","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-7892-5","volume-title":"Spatial variation","author":"B Mat\u00e9rn","year":"1986","unstructured":"Mat\u00e9rn B (1986) Spatial variation. Springer, Berlin"},{"key":"427_CR36","doi-asserted-by":"crossref","unstructured":"Matsubara Y, Sakurai Y, van Panhuis WG, Faloutsos C (2014) FUNNEL: Automatic Mining of Spatially Coevolving Epidemics. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 105\u2013114","DOI":"10.1145\/2623330.2623624"},{"issue":"2","key":"427_CR37","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/S1473-3099(13)70244-5","volume":"14","author":"GJ Milinovich","year":"2014","unstructured":"Milinovich GJ, Williams GM, Clements ACA, Hu W (2014) Internet-based surveillance systems for monitoring emerging infectious diseases. Lancet Infect Dis 14(2):160\u2013168","journal-title":"Lancet Infect Dis"},{"key":"427_CR38","unstructured":"Miller A, Bornn L, Adams R, Goldsberry K (2014) Factorized point process intensities: a spatial analysis of professional basketball. In: Proceedings of the 31th International Conference on Machine Learning, pp 235\u2013243"},{"issue":"21","key":"427_CR39","doi-asserted-by":"crossref","first-page":"3243","DOI":"10.1001\/archinte.160.21.3243","volume":"160","author":"A Monto","year":"2000","unstructured":"Monto A, Gravenstein S, Elliott M, Colopy M, Schweinle J (2000) Clinical signs and symptoms predicting influenza infection. Arch Intern Med 160(21):3243\u20133247","journal-title":"Arch Intern Med"},{"issue":"6996","key":"427_CR40","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1038\/nature02759","volume":"430","author":"DM Morens","year":"2004","unstructured":"Morens DM, Folkers GK, Fauci AS (2004) The challenge of emerging and re-emerging infectious diseases. Nature 430(6996):242\u2013249","journal-title":"Nature"},{"key":"427_CR41","doi-asserted-by":"crossref","unstructured":"O\u2019Connor B, Balasubramanyan R, Routledge BR, Smith NA (2010) From Tweets to polls: linking text sentiment to public opinion time series. In: Proceedings of the 4th International AAAI Conference on Weblogs and Social Media, pp 122\u2013129","DOI":"10.1609\/icwsm.v4i1.14031"},{"key":"427_CR42","unstructured":"Office for National Statistics, Great Britain (2013) Internet Access\u2014Households and Individuals 2013. Technical Report"},{"key":"427_CR43","unstructured":"Office for National Statistics, Great Britain (2014a) Annual Mid-year Population Estimates. Technical Report"},{"key":"427_CR44","unstructured":"Office for National Statistics, Great Britain (2014) Internet Access\u2014Households and Individuals 2014. Technical Report"},{"key":"427_CR45","first-page":"70","volume":"2012","author":"B O\u2019Hara","year":"2012","unstructured":"O\u2019Hara B, Caswell K (2012) Health status, health insurance, and medical services utilization: 2010. Curr Popul Rep 2012:70\u2013133","journal-title":"Curr Popul Rep"},{"issue":"3","key":"427_CR46","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1080\/02693799008941549","volume":"4","author":"MA Oliver","year":"1990","unstructured":"Oliver MA, Webster R (1990) Kriging: a method of interpolation for geographical information systems. Int J Geogr Inf Syst 4(3):313\u2013332","journal-title":"Int J Geogr Inf Syst"},{"issue":"10","key":"427_CR47","doi-asserted-by":"crossref","first-page":"e1003256","DOI":"10.1371\/journal.pcbi.1003256","volume":"9","author":"DR Olson","year":"2013","unstructured":"Olson DR, Konty KJ, Paladini M, Viboud C, Simonsen L (2013) Reassessing Google flu trends data for detection of seasonal and pandemic influenza: a comparative epidemiological study at three geographic scales. PLoS Comput Biol 9(10):e1003256","journal-title":"PLoS Comput Biol"},{"issue":"1","key":"427_CR48","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/S1473-3099(11)70295-X","volume":"12","author":"MT Osterholm","year":"2012","unstructured":"Osterholm MT, Kelley NS, Sommer A, Belongia EA (2012) Efficacy and effectiveness of influenza vaccines: a systematic review and meta-analysis. Lancet Infect Dis 12(1):36\u201344","journal-title":"Lancet Infect Dis"},{"issue":"8","key":"427_CR49","doi-asserted-by":"crossref","first-page":"e103408","DOI":"10.1371\/journal.pone.0103408","volume":"9","author":"MJ Paul","year":"2014","unstructured":"Paul MJ, Dredze M (2014) Discovering health topics in social media using topic models. PLoS ONE 9(8):e103408","journal-title":"PLoS ONE"},{"issue":"22","key":"427_CR50","doi-asserted-by":"crossref","first-page":"20823","DOI":"10.2807\/1560-7917.ES2014.19.22.20823","volume":"19","author":"RG Pebody","year":"2014","unstructured":"Pebody RG, Green HK, Andrews N, Zhao H, Boddington N et al (2014) Uptake and impact of a new live attenuated influenza vaccine programme in England: early results of a pilot in primary school-age children, 2013\/14 influenza season. Euro Surveill 19(22):20823","journal-title":"Euro Surveill"},{"issue":"9","key":"427_CR51","doi-asserted-by":"crossref","first-page":"e75339","DOI":"10.1371\/journal.pone.0075339","volume":"8","author":"JG Petrie","year":"2013","unstructured":"Petrie JG, Ohmit SE, Cowling BJ, Johnson E, Cross RT et al (2013) Influenza transmission in a Cohort of households with children: 2010\u20132011. PLoS ONE 8(9):e75339","journal-title":"PLoS ONE"},{"issue":"11","key":"427_CR52","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1086\/593098","volume":"47","author":"PM Polgreen","year":"2008","unstructured":"Polgreen PM, Chen Y, Pennock DM, Nelson FD, Weinstein RA (2008) Using internet searches for influenza surveillance. Clin Infect Dis 47(11):1443\u20131448","journal-title":"Clin Infect Dis"},{"key":"427_CR53","doi-asserted-by":"crossref","unstructured":"Preo\u0163iuc-Pietro D, Lampos V, Aletras N (2015) An analysis of the user occupational class through Twitter content. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics","DOI":"10.3115\/v1\/P15-1169"},{"key":"427_CR54","doi-asserted-by":"crossref","first-page":"d5408","DOI":"10.1136\/bmj.d5408","volume":"343","author":"AM Presanis","year":"2011","unstructured":"Presanis AM, Pebody RG, Paterson BJ, Tom BDM, Birrell PJ et al (2011) Changes in severity of 2009 pandemic A\/H1N1 influenza in England: a Bayesian evidence synthesis. BMJ 343:d5408","journal-title":"BMJ"},{"key":"427_CR55","first-page":"3011","volume":"11","author":"CE Rasmussen","year":"2010","unstructured":"Rasmussen CE, Nickisch H (2010) Gaussian processes for machine learning (GPML) toolbox. J Mach Learn Res 11:3011\u20133015","journal-title":"J Mach Learn Res"},{"key":"427_CR56","volume-title":"Gaussian processes for machine learning","author":"CE Rasmussen","year":"2006","unstructured":"Rasmussen CE, Williams CKI (2006) Gaussian processes for machine learning. MIT Press, Cambridge"},{"key":"427_CR57","doi-asserted-by":"crossref","unstructured":"Reed C, Angulo FJ, Swerdlow DL, Lipsitch M, Meltzer MI, Jernigan D, Finelli L (2009) Estimates of the prevalence of pandemic (H1N1) 2009. Emerg Infect Dis. doi: 10.3201\/eid1512.091413","DOI":"10.3201\/eid1512.091413"},{"issue":"5","key":"427_CR58","doi-asserted-by":"crossref","first-page":"e19467","DOI":"10.1371\/journal.pone.0019467","volume":"6","author":"A Signorini","year":"2011","unstructured":"Signorini A, Segre AM, Polgreen PM (2011) The use of twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic. PLoS ONE 6(5):e19467","journal-title":"PLoS ONE"},{"issue":"5682","key":"427_CR59","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1126\/science.1097211","volume":"305","author":"DJ Smith","year":"2004","unstructured":"Smith DJ, Lapedes AS, de Jong JC, Bestebroer TM, Rimmelzwaan GF et al (2004) Mapping the antigenic and genetic evolution of influenza virus. Science 305(5682):371\u2013376","journal-title":"Science"},{"key":"427_CR60","doi-asserted-by":"crossref","first-page":"1122","DOI":"10.1038\/nature08182","volume":"459","author":"GJD Smith","year":"2009","unstructured":"Smith GJD, Vijaykrishna D, Bahl J, Lycett SJ, Worobey M et al (2009) Origins and evolutionary genomics of the 2009 swine-origin H1N1 influenza A epidemic. Nature 459:1122\u20131125","journal-title":"Nature"},{"issue":"1","key":"427_CR61","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani R (1996) Regression shrinkage and selection via the lasso. J R Stat Soc B 58(1):267\u2013288","journal-title":"J R Stat Soc B"},{"key":"427_CR62","first-page":"2541","volume":"7","author":"P Zhao","year":"2006","unstructured":"Zhao P, Yu B (2006) On model selection consistency of lasso. J Mach Learn Res 7:2541\u20132563","journal-title":"J Mach Learn Res"},{"issue":"2","key":"427_CR63","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","volume":"67","author":"H Zou","year":"2005","unstructured":"Zou H, Hastie T (2005) Regularization and variable selection via the elastic net. J R Stat Soc B 67(2):301\u2013320","journal-title":"J R Stat Soc B"}],"container-title":["Data Mining and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-015-0427-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10618-015-0427-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-015-0427-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T19:57:51Z","timestamp":1717963071000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10618-015-0427-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,2]]},"references-count":63,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2015,9]]}},"alternative-id":["427"],"URL":"https:\/\/doi.org\/10.1007\/s10618-015-0427-9","relation":{},"ISSN":["1384-5810","1573-756X"],"issn-type":[{"type":"print","value":"1384-5810"},{"type":"electronic","value":"1573-756X"}],"subject":[],"published":{"date-parts":[[2015,7,2]]}}}