{"id":"https://openalex.org/W2797322108","doi":"https://doi.org/10.1007/s11222-019-09860-6","title":"Mean and median bias reduction in generalized linear models","display_name":"Mean and median bias reduction in generalized linear models","publication_year":2019,"publication_date":"2019-03-04","ids":{"openalex":"https://openalex.org/W2797322108","doi":"https://doi.org/10.1007/s11222-019-09860-6","mag":"2797322108"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-019-09860-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-019-09860-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-019-09860-6.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11222-019-09860-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010748074","display_name":"Ioannis Kosmidis","orcid":"https://orcid.org/0000-0003-1556-0302"},"institutions":[{"id":"https://openalex.org/I125680101","display_name":"Turing Institute","ror":"https://ror.org/02x2mw849","country_code":"GB","type":"facility","lineage":["https://openalex.org/I125680101"]},{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]},{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ioannis Kosmidis","raw_affiliation_strings":["Department of Statistics, University of Warwick, Coventry, CV4 7AL, UK","The Alan Turing Institute, 96 Euston Road, London, NW1 2DB, UK","Department of Statistics, University of Warwick, Coventry, UK","The Alan Turing Institute, London, UK"],"raw_orcid":"https://orcid.org/0000-0003-1556-0302","affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Warwick, Coventry, CV4 7AL, UK","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"The Alan Turing Institute, 96 Euston Road, London, NW1 2DB, UK","institution_ids":["https://openalex.org/I125680101","https://openalex.org/I4210128584"]},{"raw_affiliation_string":"Department of Statistics, University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]},{"raw_affiliation_string":"The Alan Turing Institute, London, UK","institution_ids":["https://openalex.org/I4210128584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041611311","display_name":"Euloge Clovis Kenne Pagui","orcid":"https://orcid.org/0000-0002-8998-9251"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Euloge Clovis Kenne Pagui","raw_affiliation_strings":["Department of Statistical Sciences, University of Padova, Via Cesare Battisti, 35121, Padova, Italy","Department of Statistical Sciences, University of Padova, Padova, Italy;"],"raw_orcid":"https://orcid.org/0000-0002-8998-9251","affiliations":[{"raw_affiliation_string":"Department of Statistical Sciences, University of Padova, Via Cesare Battisti, 35121, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Statistical Sciences, University of Padova, Padova, Italy;","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048183904","display_name":"Nicola Sartori","orcid":"https://orcid.org/0000-0002-3063-8385"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Sartori","raw_affiliation_strings":["Department of Statistical Sciences, University of Padova, Via Cesare Battisti, 35121, Padova, Italy","Department of Statistical Sciences, University of Padova, Padova, Italy;"],"raw_orcid":"https://orcid.org/0000-0002-3063-8385","affiliations":[{"raw_affiliation_string":"Department of Statistical Sciences, University of Padova, Via Cesare Battisti, 35121, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Statistical Sciences, University of Padova, Padova, Italy;","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010748074"],"corresponding_institution_ids":["https://openalex.org/I125680101","https://openalex.org/I39555362","https://openalex.org/I4210128584"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":{"value":2090,"currency":"EUR","value_usd":2690},"fwci":2.1463,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88264294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"30","issue":"1","first_page":"43","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalized-linear-model","display_name":"Generalized linear model","score":0.7313643097877502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6693293452262878},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5692389011383057},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"Multinomial distribution","score":0.5639821290969849},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5187602043151855},{"id":"https://openalex.org/keywords/hierarchical-generalized-linear-model","display_name":"Hierarchical generalized linear model","score":0.508649468421936},{"id":"https://openalex.org/keywords/generalized-linear-mixed-model","display_name":"Generalized linear mixed model","score":0.48701196908950806},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.4633536636829376},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4613513946533203},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4535837769508362},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4445450007915497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2142799198627472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10691210627555847}],"concepts":[{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.7313643097877502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6693293452262878},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5692389011383057},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.5639821290969849},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5187602043151855},{"id":"https://openalex.org/C142967376","wikidata":"https://www.wikidata.org/wiki/Q5753099","display_name":"Hierarchical generalized linear model","level":3,"score":0.508649468421936},{"id":"https://openalex.org/C153720581","wikidata":"https://www.wikidata.org/wiki/Q5532490","display_name":"Generalized linear mixed model","level":2,"score":0.48701196908950806},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.4633536636829376},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4613513946533203},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4535837769508362},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4445450007915497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2142799198627472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10691210627555847},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1007/s11222-019-09860-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-019-09860-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-019-09860-6.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:115063","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1804.04085","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.04085","pdf_url":"https://arxiv.org/pdf/1804.04085","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2797322108","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1804.04085.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:www.research.unipd.it:11577/3298524","is_oa":true,"landing_page_url":"http://hdl.handle.net/11577/3298524","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.1804.04085","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1804.04085","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s11222-019-09860-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-019-09860-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-019-09860-6.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1633672591","display_name":null,"funder_award_id":"N510129","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G3855435662","display_name":null,"funder_award_id":"N510129","funder_id":"https://openalex.org/F4320313467","funder_display_name":"Alan Turing Institute"},{"id":"https://openalex.org/G4072067573","display_name":null,"funder_award_id":"EP/N510129/1","funder_id":"https://openalex.org/F4320313467","funder_display_name":"Alan Turing Institute"},{"id":"https://openalex.org/G444630160","display_name":null,"funder_award_id":"EP/N510129/","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4500485203","display_name":"The Alan Turing Institute","funder_award_id":"EP/N510129/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5929607638","display_name":null,"funder_award_id":"PRAT 2015 CPDA153257","funder_id":"https://openalex.org/F4320321966","funder_display_name":"Universit\u00e0 degli Studi di Padova"},{"id":"https://openalex.org/G777199097","display_name":null,"funder_award_id":"EPSRC grant EP/N510129/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8597009950","display_name":null,"funder_award_id":"EP/N510129/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320313467","display_name":"Alan Turing Institute","ror":"https://ror.org/035dkdb55"},{"id":"https://openalex.org/F4320321966","display_name":"Universit\u00e0 degli Studi di Padova","ror":"https://ror.org/00240q980"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2797322108.pdf","grobid_xml":"https://content.openalex.org/works/W2797322108.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1959492","https://openalex.org/W121938757","https://openalex.org/W181348194","https://openalex.org/W568201293","https://openalex.org/W1970502168","https://openalex.org/W1975654088","https://openalex.org/W1988572610","https://openalex.org/W2000452824","https://openalex.org/W2000507951","https://openalex.org/W2013416277","https://openalex.org/W2045956890","https://openalex.org/W2059609530","https://openalex.org/W2076983043","https://openalex.org/W2078129874","https://openalex.org/W2086880647","https://openalex.org/W2095495074","https://openalex.org/W2107046293","https://openalex.org/W2120934120","https://openalex.org/W2160523162","https://openalex.org/W2160558412","https://openalex.org/W2161364915","https://openalex.org/W2162801307","https://openalex.org/W2168776547","https://openalex.org/W2186717077","https://openalex.org/W2399109940","https://openalex.org/W2782489349","https://openalex.org/W2903718010","https://openalex.org/W2949249480","https://openalex.org/W2963911805","https://openalex.org/W4299689471","https://openalex.org/W4301861531"],"related_works":["https://openalex.org/W2963667546","https://openalex.org/W2170908478","https://openalex.org/W2963720919","https://openalex.org/W2762972346","https://openalex.org/W2032276186","https://openalex.org/W2411530594","https://openalex.org/W2508226298","https://openalex.org/W2090826008","https://openalex.org/W1855465517","https://openalex.org/W2745783318","https://openalex.org/W2136987861","https://openalex.org/W3124265479","https://openalex.org/W2808540088","https://openalex.org/W2795470960","https://openalex.org/W3124715297","https://openalex.org/W2243080635","https://openalex.org/W2081668314","https://openalex.org/W2605555721","https://openalex.org/W2062650041","https://openalex.org/W2005665311"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"integrated":[4],"framework":[5,27],"for":[6,54,72,110],"estimation":[7,133],"and":[8,22,30,40,112,167,196],"inference":[9],"from":[10,165],"generalized":[11,74,188],"linear":[12,75,189],"models":[13,190],"using":[14,83,155],"adjusted":[15,56,102],"score":[16,57],"equations":[17,80],"that":[18,65,89,181],"result":[19,198],"in":[20,42,61,69,148,187,199,203],"mean":[21,37,111,166],"median":[23,49,113,145,168],"bias":[24,38,50,114,146,169],"reduction.":[25,51],"The":[26,77,161],"unifies":[28],"theoretical":[29],"methodological":[31],"aspects":[32],"of":[33,63,134,206],"past":[34],"research":[35],"on":[36,48],"reduction":[39,115,147,170],"accommodates,":[41],"a":[43,84,126,135,207],"natural":[44],"way,":[45],"new":[46],"advances":[47],"General":[52],"expressions":[53],"the":[55,108,132,156,204],"functions":[58],"are":[59,66,81,116,122,171],"derived":[60],"terms":[62],"quantities":[64],"readily":[67],"available":[68],"standard":[70],"software":[71],"fitting":[73],"models.":[76],"resulting":[78],"estimating":[79],"solved":[82],"unifying":[85],"quasi-Fisher":[86],"scoring":[87],"algorithm":[88],"is":[90,138,141],"shown":[91,143],"to":[92,95,124,173,178],"be":[93,153],"equivalent":[94,157],"iteratively":[96],"reweighted":[97],"least":[98],"squares":[99],"with":[100,184,191],"appropriately":[101],"working":[103],"variates.":[104],"Formal":[105],"links":[106],"between":[107],"iterations":[109],"established.":[117],"Core":[118],"model":[119],"invariance":[120],"properties":[121],"used":[123],"develop":[125],"novel":[127],"mixed":[128],"adjustment":[129],"strategy":[130],"when":[131],"dispersion":[136],"parameter":[137],"necessary.":[139],"It":[140],"also":[142],"how":[144],"multinomial":[149,192],"logistic":[150],"regression":[151],"can":[152,182,197],"done":[154],"Poisson":[158],"log-linear":[159],"model.":[160],"estimates":[162,180],"coming":[163],"out":[164],"found":[172],"overcome":[174],"practical":[175],"issues":[176],"related":[177],"infinite":[179],"occur":[183],"positive":[185],"probability":[186],"or":[193],"discrete":[194],"responses,":[195],"valid":[200],"inferences":[201],"even":[202],"presence":[205],"high-dimensional":[208],"nuisance":[209],"parameter.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}