{"id":"https://openalex.org/W1892844817","doi":"https://doi.org/10.1007/978-3-642-04271-3_55","title":"Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis","display_name":"Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W1892844817","doi":"https://doi.org/10.1007/978-3-642-04271-3_55","mag":"1892844817","pmid":"https://pubmed.ncbi.nlm.nih.gov/20426143"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-04271-3_55","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-04271-3_55","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-04271-3_55.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-04271-3_55.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112006397","display_name":"Merlin Keller","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113668","display_name":"Direction de la Recherche Fondamentale","ror":"https://ror.org/01yvj5k91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210113668"]},{"id":"https://openalex.org/I4210127723","display_name":"Direction des \u00e9nergies","ror":"https://ror.org/03cwzta72","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210127723"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2738703131"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Merlin Keller","raw_affiliation_strings":["LNAO, Neurospin, CEA, F-91191 Gif-sur-Yvette, France. merlin.keller@cea.fr","LNAO, Neurospin, CEA, F-91191, Gif-sur-Yvette, France"],"affiliations":[{"raw_affiliation_string":"LNAO, Neurospin, CEA, F-91191 Gif-sur-Yvette, France. merlin.keller@cea.fr","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210113668"]},{"raw_affiliation_string":"LNAO, Neurospin, CEA, F-91191, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210127723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086297713","display_name":"Marc Lavielle","orcid":"https://orcid.org/0000-0003-2680-6339"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marc Lavielle","raw_affiliation_strings":["Department of Probability and Statistics, University of Paris Sud, France","University Ren\u00e9 Descartes, Paris, France"],"affiliations":[{"raw_affiliation_string":"Department of Probability and Statistics, University of Paris Sud, France","institution_ids":["https://openalex.org/I102197404"]},{"raw_affiliation_string":"University Ren\u00e9 Descartes, Paris, France","institution_ids":["https://openalex.org/I204730241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107933380","display_name":"Matthieu Perrot","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"funder","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210127723","display_name":"Direction des \u00e9nergies","ror":"https://ror.org/03cwzta72","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210127723"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Matthieu Perrot","raw_affiliation_strings":["INSERM U.797, Orsay, France","LNAO, Neurospin, CEA, F-91191, Gif-sur-Yvette, France"],"affiliations":[{"raw_affiliation_string":"INSERM U.797, Orsay, France","institution_ids":["https://openalex.org/I154526488"]},{"raw_affiliation_string":"LNAO, Neurospin, CEA, F-91191, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210127723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020334449","display_name":"Alexis Roche","orcid":"https://orcid.org/0000-0002-4821-6893"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210127723","display_name":"Direction des \u00e9nergies","ror":"https://ror.org/03cwzta72","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210127723"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexis Roche","raw_affiliation_strings":["LNAO, Neurospin, CEA, F-91191, Gif-sur-Yvette, France"],"affiliations":[{"raw_affiliation_string":"LNAO, Neurospin, CEA, F-91191, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210127723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112006397"],"corresponding_institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210113668","https://openalex.org/I4210127723"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.1414,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.9458897,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"12","issue":"Pt 2","first_page":"450","last_page":"457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10788","display_name":"Neuroscience and Music Perception","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7751359939575195},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.750564694404602},{"id":"https://openalex.org/keywords/statistical-parametric-mapping","display_name":"Statistical parametric mapping","score":0.7195493578910828},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6569796204566956},{"id":"https://openalex.org/keywords/false-positives-and-false-negatives","display_name":"False positives and false negatives","score":0.5959939360618591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5923674702644348},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5829110145568848},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5354595184326172},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4919288158416748},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.48507729172706604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41106122732162476},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3598800599575043},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12922745943069458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0917479395866394},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.08307906985282898}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7751359939575195},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.750564694404602},{"id":"https://openalex.org/C39313694","wikidata":"https://www.wikidata.org/wiki/Q2940624","display_name":"Statistical parametric mapping","level":3,"score":0.7195493578910828},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6569796204566956},{"id":"https://openalex.org/C112789634","wikidata":"https://www.wikidata.org/wiki/Q18207010","display_name":"False positives and false negatives","level":3,"score":0.5959939360618591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5923674702644348},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5829110145568848},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5354595184326172},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4919288158416748},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.48507729172706604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41106122732162476},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3598800599575043},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12922745943069458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0917479395866394},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.08307906985282898},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013382","descriptor_name":"Subtraction Technique","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-642-04271-3_55","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-04271-3_55","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-04271-3_55.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmid:20426143","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20426143","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention","raw_type":null}],"best_oa_location":{"id":"doi:10.1007/978-3-642-04271-3_55","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-642-04271-3_55","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-642-04271-3_55.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1892844817.pdf","grobid_xml":"https://content.openalex.org/works/W1892844817.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1536828803","https://openalex.org/W1549862793","https://openalex.org/W1852424626","https://openalex.org/W1969534031","https://openalex.org/W1976954310","https://openalex.org/W1981025032","https://openalex.org/W1991237518","https://openalex.org/W2015749074","https://openalex.org/W2046557060","https://openalex.org/W2048050362","https://openalex.org/W2055742299","https://openalex.org/W2056306065","https://openalex.org/W2058046532","https://openalex.org/W2063237661","https://openalex.org/W2067114099","https://openalex.org/W2080908547","https://openalex.org/W2094730477","https://openalex.org/W2111613011","https://openalex.org/W2113620950","https://openalex.org/W2140678023","https://openalex.org/W2154347346","https://openalex.org/W2158109905","https://openalex.org/W2182973937","https://openalex.org/W4253552061"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W1973412793","https://openalex.org/W2099261052","https://openalex.org/W4292605373","https://openalex.org/W2951146195","https://openalex.org/W4226316650","https://openalex.org/W3123215897","https://openalex.org/W2153600354","https://openalex.org/W4243739114"],"abstract_inverted_index":null,"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
