{"id":"https://openalex.org/W4379743014","doi":"https://doi.org/10.1371/journal.pcbi.1011154","title":"Hebbian learning with elasticity explains how the spontaneous motor tempo affects music performance synchronization","display_name":"Hebbian learning with elasticity explains how the spontaneous motor tempo affects music performance synchronization","publication_year":2023,"publication_date":"2023-06-07","ids":{"openalex":"https://openalex.org/W4379743014","doi":"https://doi.org/10.1371/journal.pcbi.1011154","pmid":"https://pubmed.ncbi.nlm.nih.gov/37285380"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1011154","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011154","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011154&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011154&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027526258","display_name":"Iran R. Roman","orcid":"https://orcid.org/0000-0003-3781-7244"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Iran R. Roman","raw_affiliation_strings":["Center for Computer Research in Music and Acoustics, Department of Music, Stanford University, Stanford, California, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-3781-7244","affiliations":[{"raw_affiliation_string":"Center for Computer Research in Music and Acoustics, Department of Music, Stanford University, Stanford, California, United States of America","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081976456","display_name":"Adrian S. Roman","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adrian S. Roman","raw_affiliation_strings":["Department of Mathematics, University of California Davis, Davis, California, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of California Davis, Davis, California, United States of America","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018046566","display_name":"Ji Chul Kim","orcid":"https://orcid.org/0000-0002-8909-3340"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ji Chul Kim","raw_affiliation_strings":["Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-8909-3340","affiliations":[{"raw_affiliation_string":"Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, United States of America","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050113422","display_name":"Edward W. Large","orcid":"https://orcid.org/0000-0003-3909-3518"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Edward W. Large","raw_affiliation_strings":["Department of Physics, University of Connecticut, Storrs, Connecticut, United States of America","Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, University of Connecticut, Storrs, Connecticut, United States of America","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, United States of America","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018046566","https://openalex.org/A5027526258","https://openalex.org/A5050113422","https://openalex.org/A5081976456"],"corresponding_institution_ids":["https://openalex.org/I140172145","https://openalex.org/I84218800","https://openalex.org/I97018004"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":3.9187,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.94207129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"6","first_page":"e1011154","last_page":"e1011154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10788","display_name":"Neuroscience and Music Perception","score":0.9998999834060669,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9998999834060669,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9948999881744385,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metronome","display_name":"Metronome","score":0.9504218101501465},{"id":"https://openalex.org/keywords/hebbian-theory","display_name":"Hebbian theory","score":0.702226996421814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6329054236412048},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5100758671760559},{"id":"https://openalex.org/keywords/rhythm","display_name":"Rhythm","score":0.4832945168018341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3272547721862793},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.18373405933380127},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.16117897629737854},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10827913880348206}],"concepts":[{"id":"https://openalex.org/C100533687","wikidata":"https://www.wikidata.org/wiki/Q156424","display_name":"Metronome","level":3,"score":0.9504218101501465},{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.702226996421814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6329054236412048},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5100758671760559},{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.4832945168018341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3272547721862793},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.18373405933380127},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16117897629737854},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10827913880348206}],"mesh":[{"descriptor_ui":"D004548","descriptor_name":"Elasticity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004548","descriptor_name":"Elasticity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004548","descriptor_name":"Elasticity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009146","descriptor_name":"Music","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009146","descriptor_name":"Music","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009146","descriptor_name":"Music","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1011154","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011154","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011154&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:37285380","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37285380","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10281589","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10281589","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10281589/pdf/pcbi.1011154.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/102536","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/102536","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/102536/2/Roman%20Hebbian%20learning%20with%20elasticity%20explains%20how%20the%20spontaneous%20motor%20tempo%20affects%20music%20performance%20synchronization%202023%20Published.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:RePEc:plo:pcbi00:1011154","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011154","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:810cbc34fcf44689ae2e0cf21ef68901","is_oa":true,"landing_page_url":"https://doaj.org/article/810cbc34fcf44689ae2e0cf21ef68901","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 19, Iss 6, p e1011154 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1011154","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011154","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011154&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320333805","display_name":"Connecticut Institute for the Brain and Cognitive Sciences","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379743014.pdf","grobid_xml":"https://content.openalex.org/works/W4379743014.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1964069773","https://openalex.org/W1964849140","https://openalex.org/W1978988328","https://openalex.org/W1979723177","https://openalex.org/W1980226795","https://openalex.org/W1982703461","https://openalex.org/W1985559627","https://openalex.org/W1989524512","https://openalex.org/W1995983801","https://openalex.org/W1996673470","https://openalex.org/W2012109990","https://openalex.org/W2034780273","https://openalex.org/W2038344890","https://openalex.org/W2055200947","https://openalex.org/W2067975977","https://openalex.org/W2068910989","https://openalex.org/W2076825472","https://openalex.org/W2082108224","https://openalex.org/W2084369831","https://openalex.org/W2091389797","https://openalex.org/W2096459983","https://openalex.org/W2097885411","https://openalex.org/W2106286592","https://openalex.org/W2118607666","https://openalex.org/W2121491902","https://openalex.org/W2122107405","https://openalex.org/W2123820663","https://openalex.org/W2126097529","https://openalex.org/W2132736703","https://openalex.org/W2148384586","https://openalex.org/W2149525340","https://openalex.org/W2154188406","https://openalex.org/W2154672941","https://openalex.org/W2155356469","https://openalex.org/W2156748993","https://openalex.org/W2156949381","https://openalex.org/W2160044159","https://openalex.org/W2224233427","https://openalex.org/W2235534778","https://openalex.org/W2273010931","https://openalex.org/W2340901342","https://openalex.org/W2588767398","https://openalex.org/W2797007929","https://openalex.org/W2810452978","https://openalex.org/W2915545950","https://openalex.org/W2917621767","https://openalex.org/W2952029642","https://openalex.org/W2982445161","https://openalex.org/W3031180059","https://openalex.org/W4211156652","https://openalex.org/W4239502407","https://openalex.org/W4376875909"],"related_works":["https://openalex.org/W2091389660","https://openalex.org/W2221070192","https://openalex.org/W1972174382","https://openalex.org/W4237544797","https://openalex.org/W2321618256","https://openalex.org/W3143158577","https://openalex.org/W2122826404","https://openalex.org/W4392662888","https://openalex.org/W4235625903","https://openalex.org/W2023424082"],"abstract_inverted_index":{"A":[0],"musician's":[1,27,105,120,163],"spontaneous":[2,7,189,194],"rate":[3],"of":[4,111,174,227,265,273],"movement,":[5],"called":[6],"motor":[8],"tempo":[9,28,57,72,106,117,128,159,180],"(SMT),":[10],"can":[11],"be":[12],"measured":[13],"while":[14],"spontaneously":[15],"playing":[16],"a":[17,36,54,68,71,109,151,158,162,171,175,183,208,270],"simple":[18],"melody.":[19],"Data":[20],"shows":[21],"that":[22,38,58,73,96,145,250],"the":[23,26,44,62,79,97,100,104,112,115,119,126,130,133,146,187,192,197,222,225,228,239,241,251,262,286],"SMT":[24,147,277],"influences":[25],"and":[29,81,103,118,132,182,231,285],"synchronization.":[30],"In":[31],"this":[32,234],"study":[33],"we":[34,169,215],"present":[35],"model":[37,172,218,236,287],"captures":[39],"these":[40],"phenomena.":[41],"We":[42,143],"review":[43],"results":[45],"from":[46,61,125,161],"three":[47,229,259],"previously-published":[48],"studies:":[49],"solo":[50,64],"musical":[51,65,83,155],"performance":[52,66,84,283,292],"with":[53,87,178,261],"pacing":[55,101],"metronome":[56,69,102,116],"is":[59,74],"different":[60,160],"SMT,":[63,80,121,131,198],"without":[67,245],"at":[70,157],"faster":[75],"or":[76,89],"slower":[77],"than":[78],"duet":[82],"between":[85,99,114],"musicians":[86,122,139],"matching":[88,141],"mismatching":[90],"SMTs.":[91,142],"These":[92],"studies":[93,230,244],"showed,":[94],"respectively,":[95],"asynchrony":[98],"grew":[107],"as":[108,150],"function":[110],"difference":[113],"drifted":[123],"away":[124],"initial":[127],"toward":[129],"absolute":[134],"asynchronies":[135],"were":[136],"smaller":[137],"if":[138],"had":[140],"hypothesize":[144],"constantly":[148],"acts":[149],"pulling":[152,184],"force":[153,185],"affecting":[154],"actions":[156],"SMT.":[164],"To":[165,211],"test":[166,212],"our":[167,213],"hypothesis,":[168,214],"developed":[170],"consisting":[173],"non-linear":[176],"oscillator":[177],"Hebbian":[179,200],"learning":[181,201,205],"to":[186,206,220,256],"model's":[188,193,252],"frequency.":[190,210],"While":[191],"frequency":[195,204],"emulates":[196],"elastic":[199],"allows":[202],"for":[203],"match":[207,221],"stimulus'":[209],"first":[216,226],"fit":[217],"parameters":[219],"data":[223,240],"in":[224,280],"asked":[232],"whether":[233],"same":[235,263],"would":[237],"explain":[238,257],"remaining":[242],"two":[243],"further":[246],"tuning.":[247],"Results":[248],"showed":[249],"dynamics":[253],"allowed":[254],"it":[255],"all":[258],"experiments":[260],"set":[264],"parameters.":[266],"Our":[267],"theory":[268],"offers":[269],"dynamical-systems":[271],"explanation":[272],"how":[274],"an":[275],"individual's":[276],"affects":[278],"synchronization":[279],"realistic":[281],"music":[282],"settings,":[284],"also":[288],"enables":[289],"predictions":[290],"about":[291],"settings":[293],"not":[294],"yet":[295],"tested.":[296]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
