{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:37:15Z","timestamp":1774366635367,"version":"3.50.1"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,2,2]],"date-time":"2017-02-02T00:00:00Z","timestamp":1485993600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2017,2,2]],"date-time":"2017-02-02T00:00:00Z","timestamp":1485993600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["5 R01 DK095963-03"],"award-info":[{"award-number":["5 R01 DK095963-03"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1186\/s12859-017-1501-7","type":"journal-article","created":{"date-parts":[[2017,2,2]],"date-time":"2017-02-02T12:25:06Z","timestamp":1486038306000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["Mixture model normalization for non-targeted gas chromatography\/mass spectrometry metabolomics data"],"prefix":"10.1186","volume":"18","author":[{"given":"Anna C.","family":"Reisetter","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael J.","family":"Muehlbauer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James R.","family":"Bain","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Nodzenski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert D.","family":"Stevens","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olga","family":"Ilkayeva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boyd E.","family":"Metzger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher B.","family":"Newgard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"suffix":"Jr.","given":"William L.","family":"Lowe","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Denise M.","family":"Scholtens","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,2,2]]},"reference":[{"issue":"7","key":"1501_CR1","doi-asserted-by":"publisher","first-page":"1060","DOI":"10.1038\/nprot.2011.335","volume":"6","author":"WR Dunn","year":"2011","unstructured":"Dunn WR, Broadhurst D, Begley P, Zelena E, Francis-McIntyre S, Anderson N, Brown M, Knowles JD, Halsall A, Haselden JN, et al. Procedures for large-scale metabolic profiling of serum and plasma using has chromatography and liquid chromatography coupled to mass spectrometry. Nat Protoc. 2011;6(7):1060\u201383.","journal-title":"Nat Protoc"},{"issue":"8","key":"1501_CR2","doi-asserted-by":"publisher","first-page":"e0160555","DOI":"10.1371\/journal.pone.0160555","volume":"11","author":"D Saigusa","year":"2016","unstructured":"Saigusa D, Okamura Y, Motoike IN, Katoh Y, Kurosawa Y, Saijyo R, Koshiba S, Yasuda J, Motohashi H, Sugawara J, et al. Establishment of protocols for global metabolomics by LC-MS for biomarker discovery. PLoS One. 2016;11(8):e0160555.","journal-title":"PLoS One"},{"issue":"5","key":"1501_CR3","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1089\/bio.2015.0092","volume":"14","author":"L Malm","year":"2016","unstructured":"Malm L, Tybring G, Moritz T, Landin B, Galli J. Metabolomic quality assessment of EDTA plasma and serum samples. Biopreserv Biobank. 2016;14(5):416\u201323.","journal-title":"Biopreserv Biobank"},{"key":"1501_CR4","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1016\/j.talanta.2015.12.079","volume":"150","author":"MA L\u00f3pez-Basc\u00f3n","year":"2016","unstructured":"L\u00f3pez-Basc\u00f3n MA, Priego-Capote F, Peralbo-Molina A, Calder\u00f3n-Santiago M, Luque de Castro MD. Influence of the collection tube on metabolomic changes in serum and plasma. Talanta. 2016;150:681\u20139.","journal-title":"Talanta"},{"issue":"18","key":"1501_CR5","doi-asserted-by":"publisher","first-page":"2148","DOI":"10.1002\/elps.201400600","volume":"36","author":"A Hirayama","year":"2015","unstructured":"Hirayama A, Sugimoto M, Suzuki A, Hatakeyama Y, Enomoto A, Harada S, Soga T, Tomita M, Takebayashi T. Effects of processing and storage conditions on changed metabolomic profiles in blood. Electrophoresis. 2015;36(18):2148\u201355.","journal-title":"Electrophoresis"},{"key":"1501_CR6","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1186\/1471-2105-8-93","volume":"8","author":"M Sysi-Aho","year":"2007","unstructured":"Sysi-Aho M, Katajamaa M, Yetukuri L, Oresic M. Normalization method for metabolomics data using optimal selection of multiple internal standards. BMC Bioinformatics. 2007;8:93.","journal-title":"BMC Bioinformatics"},{"issue":"19","key":"1501_CR7","doi-asserted-by":"publisher","first-page":"2452","DOI":"10.1093\/bioinformatics\/btt414","volume":"29","author":"N Kessler","year":"2013","unstructured":"Kessler N, Neuweger H, Bonte A, Langenkamper G, Niehaus K, Nattkemper TW, Goesmann A. MeltDB 2.0 - Advances of the metabolomics software system. Bioinformatics. 2013;29(19):2452\u20139.","journal-title":"Bioinformatics"},{"issue":"1","key":"1501_CR8","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1093\/bioinformatics\/btt589","volume":"30","author":"G Hughes","year":"2014","unstructured":"Hughes G, Cruikshank-Quinn C, Reisdorph R, Lutz S, Petrache I, Reisdorph N, Bowler R, Kechris K. MSPrep - Summarization, normalization and diagnostics for processing of mass spectrometry-based metabolomic data. Bioinformatics. 2014;30(1):133\u20134.","journal-title":"Bioinformatics"},{"issue":"9","key":"1501_CR9","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1093\/bioinformatics\/btu813","volume":"31","author":"F Giacomoni","year":"2015","unstructured":"Giacomoni F, Le Corguille G, Monsoor M, Landi M, Pericard P, Petera M, Duperier C, Tremplay-Franco M, Martin J-F, Jacob D, et al. Workflow4Metabolomics: a collaborative research infrastructure for computational metabolomics. Bioinformatics. 2015;31(9):1493\u20135.","journal-title":"Bioinformatics"},{"key":"1501_CR10","doi-asserted-by":"publisher","first-page":"5864","DOI":"10.1021\/ac201065j","volume":"83","author":"KA Veselkov","year":"2011","unstructured":"Veselkov KA, Vingara LK, Masson P, Robinette SL, Want E, Li JV, Barton RH, Boursier-Neyret C, Walter B, Ebbels TM, et al. Optimized preprocessing of ultra-performance liquid chromatography\/mass spectrometry urinary metabolic profiles for improved information recovery. Ana Chem. 2011;83:5864\u201372.","journal-title":"Ana Chem"},{"key":"1501_CR11","doi-asserted-by":"publisher","first-page":"96","DOI":"10.2174\/157489312799304431","volume":"7","author":"M Sugimoto","year":"2012","unstructured":"Sugimoto M, Kawakami M, Robert M, Soga T, Tomita M. Bioinformatics tools for mass spectrometry-based metabolomic data processing and analysis. Curr Bioinforma. 2012;7:96\u2013108.","journal-title":"Curr Bioinforma"},{"key":"1501_CR12","doi-asserted-by":"publisher","first-page":"2670","DOI":"10.1021\/ac202733q","volume":"84","author":"MA Kamleh","year":"2012","unstructured":"Kamleh MA, Ebbels TMD, Spagou K, Masson P, Want EJ. Optimizing the use of quality control samples for signal draft correction in large-scale urine metabolic profiling studies. Anal Chem. 2012;84:2670\u20137.","journal-title":"Anal Chem"},{"key":"1501_CR13","first-page":"111","volume":"12","author":"S Dudoit","year":"2002","unstructured":"Dudoit S, Yang YH, Callow MJ, Speed TP. Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments. Stat Sin. 2002;12:111\u201339.","journal-title":"Stat Sin"},{"issue":"2","key":"1501_CR14","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1093\/bioinformatics\/19.2.185","volume":"19","author":"BM Bolstad","year":"2003","unstructured":"Bolstad BM, Irizarry RA, Astrand M, Speed TP. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics. 2003;19(2):185\u201393.","journal-title":"Bioinformatics"},{"issue":"9","key":"1501_CR15","doi-asserted-by":"publisher","first-page":"e161","DOI":"10.1371\/journal.pgen.0030161","volume":"3","author":"JT Leek","year":"2007","unstructured":"Leek JT, Storey JD. Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet. 2007;3(9):e161.","journal-title":"PLoS Genet"},{"issue":"1","key":"1501_CR16","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1093\/biostatistics\/kxj037","volume":"8","author":"WE Johnson","year":"2007","unstructured":"Johnson WE, Li C, Rabinovic A. Adjusting batch effects in microarray expression data using empircal Bayes methods. Biostatistics. 2007;8(1):118\u201327.","journal-title":"Biostatistics"},{"issue":"suppl 1","key":"1501_CR17","doi-asserted-by":"publisher","first-page":"S96","DOI":"10.1093\/bioinformatics\/18.suppl_1.S96","volume":"18","author":"W Huber","year":"2002","unstructured":"Huber W, von Heydebreck A, S\u00fcltmann H, Poustka A, Vingron M. Variance stabilization applies to microarray data calibration and to the quantification of differential expression. Bioinformatics. 2002;18 suppl 1:S96\u2013104.","journal-title":"Bioinformatics"},{"key":"1501_CR18","doi-asserted-by":"publisher","first-page":"10768","DOI":"10.1021\/ac302748b","volume":"84","author":"AM De Livera","year":"2012","unstructured":"De Livera AM, Dias DA, De Souza D, Rupasinghe T, Pyke J, Tull D, Roessner U, McConville M, Speed TP. Normalizing and integrating metabolomics data. Anal Chem. 2012;84:10768\u201376.","journal-title":"Anal Chem"},{"issue":"18","key":"1501_CR19","doi-asserted-by":"publisher","first-page":"2249","DOI":"10.4155\/bio.12.204","volume":"4","author":"WR Dunn","year":"2012","unstructured":"Dunn WR, Wilson ID, Nicholls AW, Broadhurst D. The importance of experimental design and QC samples in large-scale and MS-driven untargeted metabolomic studies of humans. Bioanalysis. 2012;4(18):2249\u201364.","journal-title":"Bioanalysis"},{"key":"1501_CR20","doi-asserted-by":"publisher","first-page":"1037","DOI":"10.1021\/ac302877x","volume":"85","author":"S-Y Wang","year":"2013","unstructured":"Wang S-Y, Kuo C-H, Tseng YJ. Batch Normalizer: A Fast Total Abundance Regression Calibration Method to Simultaneously Adjust Batch and Injection Order Effects in Liquid Chromatography\/Time-of-Flight Mass Spectrometry-Based Metabolomics Data and Comparison with Current Calibration Methods. Anal Chem. 2013;85:1037\u201346.","journal-title":"Anal Chem"},{"key":"1501_CR21","doi-asserted-by":"publisher","first-page":"S161","DOI":"10.1007\/s11306-011-0366-4","volume":"8","author":"O Hrydziuszko","year":"2012","unstructured":"Hrydziuszko O, Viant M. Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline. Metabolomics. 2012;8:S161\u201374.","journal-title":"Metabolomics"},{"issue":"2","key":"1501_CR22","doi-asserted-by":"publisher","first-page":"433","DOI":"10.3390\/metabo4020433","volume":"4","author":"PS Gromski","year":"2014","unstructured":"Gromski PS, Xu Y, Kotze HL, Correa E, Ellis DI, Armitage EG, Turner ML, Goodacre R. Influence of missing values substitutes on multivariate analysis of metabolomics data. Metabolites. 2014;4(2):433\u201352.","journal-title":"Metabolites"},{"issue":"22","key":"1501_CR23","doi-asserted-by":"publisher","first-page":"3287","DOI":"10.1093\/bioinformatics\/btu509","volume":"30","author":"M Nodzenski","year":"2014","unstructured":"Nodzenski M, Muehlbauer MJ, Bain JR, Reisetter AC, Lowe Jr WL, Scholtens DM. Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data. Bioinformatics. 2014;30(22):3287\u20138.","journal-title":"Bioinformatics"},{"key":"1501_CR24","doi-asserted-by":"crossref","unstructured":"Scholtens DM, Bain JR, Reisetter AC, Muehlbauer MJ, Nodzenski M, Stevens RD, Ilkayeva O, Lowe LP, Metzger BE, Newgard CB, et al. Metabolic networks and metbolites underlie associations between maternal glucose during pregnancy and newborn size at birth. Diabetes. 2016;65(7):2039\u20132050.","DOI":"10.2337\/db15-1748"},{"issue":"4","key":"1501_CR25","doi-asserted-by":"publisher","first-page":"1570","DOI":"10.2307\/2533289","volume":"51","author":"LH Moulton","year":"1995","unstructured":"Moulton LH, Halsey NA. A mixture model with detection limites for regression analysis of antibody response to vaccine. Biometrics. 1995;51(4):1570\u20138.","journal-title":"Biometrics"},{"key":"1501_CR26","doi-asserted-by":"publisher","first-page":"R80","DOI":"10.1186\/gb-2004-5-10-r80","volume":"5","author":"RC Gentleman","year":"2004","unstructured":"Gentleman RC, Carey VC, Bates DM, Bolstad BM, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004;5:R80.","journal-title":"Genome Biol"},{"key":"1501_CR27","doi-asserted-by":"publisher","first-page":"1164","DOI":"10.1093\/bioinformatics\/btm069","volume":"23","author":"W Stacklies","year":"2007","unstructured":"Stacklies W, Redestig H, Scholz M, Walther D, Selbig J. pcaMethods - a Bioconductor package providing PCA methods for incomplete data. Bioinformatics. 2007;23:1164\u20137.","journal-title":"Bioinformatics"},{"issue":"12","key":"1501_CR28","doi-asserted-by":"publisher","first-page":"e116221","DOI":"10.1371\/journal.pone.0116221","volume":"9","author":"YV Karpievitch","year":"2014","unstructured":"Karpievitch YV, Nikolic SB, Wilson R, Sharman JE, Edwards LM. Metabolomics data normalization with EigenMS. PLoS One. 2014;9(12):e116221.","journal-title":"PLoS One"},{"key":"1501_CR29","unstructured":"Bolstad BM. preprocessCore: a collection of pre-proccesing functions. R package version 1.30.0. 2016."},{"key":"1501_CR30","unstructured":"Leek JT, Johnson WE, Parker HS, Fertig EJ, Jaffe AE, Storey JD. sva: Surrogate Variable Analysis. R package version 3.14.0. 2016."},{"issue":"1","key":"1501_CR31","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/S0020-7292(02)00092-9","volume":"78","author":"HAPO Study Cooperative Research Group","year":"2002","unstructured":"HAPO Study Cooperative Research Group. The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Int J Gynaecol Obstet. 2002;78(1):69\u201377.","journal-title":"Int J Gynaecol Obstet"},{"issue":"19","key":"1501_CR32","doi-asserted-by":"publisher","first-page":"1991","DOI":"10.1056\/NEJMoa0707943","volume":"358","author":"BE Metzger","year":"2008","unstructured":"Metzger BE, Lowe LP, Dyer AR, Trimble ER, Chaovarindr U, Coustan DR, Hadden DR, McCance DR, Hod M, McIntyre HD, et al. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med. 2008;358(19):1991\u20132002.","journal-title":"N Engl J Med"},{"issue":"1","key":"1501_CR33","doi-asserted-by":"publisher","first-page":"158","DOI":"10.2337\/dc13-0989","volume":"37","author":"DM Scholtens","year":"2014","unstructured":"Scholtens DM, Muehlbauer MJ, Daya NR, Stevens RD, Dyer AR, Lowe LP, Metzger BE, Newgard CB, Bain JR, Lowe Jr WL, et al. Metabolomics reveals broad-scale metabolic perturbations in hyperglycemic mothers during pregnancy. Diabetes Care. 2014;37(1):158\u201366.","journal-title":"Diabetes Care"},{"key":"1501_CR34","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1089\/omi.2008.0035","volume":"13","author":"LF Lien","year":"2009","unstructured":"Lien LF, Haqq AM, Arlotto M, Slentz CA, Muehlbauer MJ, McMahon RL, Rochon J, Gallup D, Bain JR, Ilkayeva O, et al. The STEDMAN project: biophysical, biochemical and metabolic effects of a behavioral weight loss intervention during weight loss, maintenance, and regain. OMICS. 2009;13:21\u201335.","journal-title":"OMICS"},{"issue":"6","key":"1501_CR35","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1016\/j.cct.2005.09.003","volume":"26","author":"AM Haqq","year":"2005","unstructured":"Haqq AM, Lien LF, Boan J, Arlotto M, Slentz CA, Muehlbauer MJ, Rochon J, Gallup D, McMahon RL, Bain JR, et al. The Study of the Effects of Diet on Metabolism and Nutrition (STEDMAN) weight loss project: Rationale and design. Contemp Clin Trials. 2005;26(6):616\u201325.","journal-title":"Contemp Clin Trials"},{"issue":"24","key":"1501_CR36","doi-asserted-by":"publisher","first-page":"10038","DOI":"10.1021\/ac9019522","volume":"81","author":"T Kind","year":"2009","unstructured":"Kind T, Wohlgemuth G, Lee do Y, Lu Y, Palazoglu M, Shahbaz S, Fiehn O. FiehnLib: mass spectral and retention index libraries for metabolomics based on quadrupole and time-of-flight gas chromatography\/mass spectrometry. Anal Chem. 2009;81(24):10038\u201348.","journal-title":"Anal Chem"},{"issue":"1","key":"1501_CR37","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1046\/j.1365-313x.2000.00774.x","volume":"23","author":"U Roessner","year":"2000","unstructured":"Roessner U, Wagner C, Kopka J, Trethewey RN, Willmitzer L. Technical advance: simultaneous analysis of metabolites in potato tuber by gas chromatography-mass spectrometry. Plant J. 2000;23(1):131\u201342.","journal-title":"Plant J"},{"key":"1501_CR38","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1002\/(SICI)1097-0231(19990228)13:4<279::AID-RCM478>3.0.CO;2-I","volume":"13","author":"JM Halket","year":"1999","unstructured":"Halket JM, Przyborowska A, Stein SE, Mallard WG, Down S, Chalmers RA. Deconvolution gas chromatography\/mass spectrometry of urinary organic acids: potential for pattern recognition and automated identification of metabolic disorders. Rapid Commun Mass Spectrom. 1999;13:279\u201384.","journal-title":"Rapid Commun Mass Spectrom"},{"issue":"W1","key":"1501_CR39","doi-asserted-by":"publisher","first-page":"W251","DOI":"10.1093\/nar\/gkv380","volume":"43","author":"J Xia","year":"2015","unstructured":"Xia J, Sinelnikov IV, Han B-G, Wishart DS. MetaboAnalyst 3.0 - making metabolomics more meaningful. Nucleic Acids Res. 2015;43(W1):W251\u20137.","journal-title":"Nucleic Acids Res"},{"key":"1501_CR40","doi-asserted-by":"publisher","first-page":"2453","DOI":"10.1007\/s00125-014-3371-0","volume":"57","author":"J Huynh","year":"2014","unstructured":"Huynh J, Xiong G, Bentley-Lewis R. A systematic review of metabolite profiling in gestational diabetes mellitus. Diabetologia. 2014;57:2453\u201364.","journal-title":"Diabetologia"},{"issue":"2","key":"1501_CR41","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.jcte.2014.03.003","volume":"1","author":"R Bentley-Lewis","year":"2014","unstructured":"Bentley-Lewis R, Xiong G, Lee H, Yang A, Huynh J, Kim C. Metabolomic analysis reveals amino-acid responses to an oral glucose tolerance test in women with prior history of gestational diabetes mellitus. J Clin Transl Endocrinol. 2014;1(2):38\u201343.","journal-title":"J Clin Transl Endocrinol"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-017-1501-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12859-017-1501-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-017-1501-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,14]],"date-time":"2020-05-14T11:12:22Z","timestamp":1589454742000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-017-1501-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,2]]},"references-count":41,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["1501"],"URL":"https:\/\/doi.org\/10.1186\/s12859-017-1501-7","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,2,2]]},"assertion":[{"value":"14 June 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 February 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"84"}}