{"id":"https://openalex.org/W2962840331","doi":"https://doi.org/10.48550/arxiv.1409.5020","title":"Using Topological Data Analysis for diagnosis pulmonary embolism","display_name":"Using Topological Data Analysis for diagnosis pulmonary embolism","publication_year":2014,"publication_date":"2014-09-17","ids":{"openalex":"https://openalex.org/W2962840331","doi":"https://doi.org/10.48550/arxiv.1409.5020","mag":"2962840331"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1409.5020","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1409.5020","pdf_url":"https://arxiv.org/pdf/1409.5020","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1409.5020","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027596306","display_name":"Matteo Rucco","orcid":"https://orcid.org/0000-0003-2561-3340","observed_orcids":["https://orcid.org/0000-0003-2561-3340"]},"institutions":[{"id":"https://openalex.org/I112859197","display_name":"Universit\u00e0 di Camerino","ror":"https://ror.org/0005w8d69","country_code":"IT","type":"education","lineage":["https://openalex.org/I112859197"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rucco, Matteo","raw_affiliation_strings":["University of Camerino, School of Science and Technology, Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Camerino, School of Science and Technology, Italy#TAB#","institution_ids":["https://openalex.org/I112859197"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153353015","display_name":"Lorenzo Falsetti","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I112859197","display_name":"Universit\u00e0 di Camerino","ror":"https://ror.org/0005w8d69","country_code":"IT","type":"education","lineage":["https://openalex.org/I112859197"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Falsetti, Lorenzo","raw_affiliation_strings":["University of Camerino, School of Science and Technology, Italy#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Camerino, School of Science and Technology, Italy#TAB#","institution_ids":["https://openalex.org/I112859197"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075794110","display_name":"Damir Herman","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210147551","display_name":"Ayasdi (United States)","ror":"https://ror.org/04my4mt94","country_code":"US","type":"company","lineage":["https://openalex.org/I4210147551"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Herman, Damir","raw_affiliation_strings":["Ayasdi, Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ayasdi, Inc., USA","institution_ids":["https://openalex.org/I4210147551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072576840","display_name":"Tanya C. Petrossian","orcid":"https://orcid.org/0000-0002-1205-9144","observed_orcids":["https://orcid.org/0000-0002-1205-9144"]},"institutions":[{"id":"https://openalex.org/I4210147551","display_name":"Ayasdi (United States)","ror":"https://ror.org/04my4mt94","country_code":"US","type":"company","lineage":["https://openalex.org/I4210147551"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petrossian, Tanya","raw_affiliation_strings":["Ayasdi, Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ayasdi, Inc., USA","institution_ids":["https://openalex.org/I4210147551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153250803","display_name":"Emanuela Merelli","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Merelli, Emanuela","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030535929","display_name":"Cinzia Nitti","orcid":"https://orcid.org/0000-0003-1655-8263","observed_orcids":["https://orcid.org/0000-0003-1655-8263"]},"institutions":[{"id":"https://openalex.org/I4210108813","display_name":"Azienda Ospedaliero-Universitaria delle Marche","ror":"https://ror.org/0213f0637","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210108813"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nitti, Cinzia","raw_affiliation_strings":["Internal and Subintensive Medicine of Ospedali Riuniti - Ancona, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Internal and Subintensive Medicine of Ospedali Riuniti - Ancona, IT","institution_ids":["https://openalex.org/I4210108813"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5153396814","display_name":"Aldo Salvi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210108813","display_name":"Azienda Ospedaliero-Universitaria delle Marche","ror":"https://ror.org/0213f0637","country_code":"IT","type":"healthcare","lineage":["https://openalex.org/I4210108813"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Salvi, Aldo","raw_affiliation_strings":["Internal and Subintensive Medicine of Ospedali Riuniti - Ancona, IT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Internal and Subintensive Medicine of Ospedali Riuniti - Ancona, IT","institution_ids":["https://openalex.org/I4210108813"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":"41","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.39259999990463257,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.39259999990463257,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10285","display_name":"Venous Thromboembolism Diagnosis and Management","score":0.2937000095844269,"subfield":{"id":"https://openalex.org/subfields/2724","display_name":"Internal Medicine"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.23729999363422394,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/pulmonary-embolism","display_name":"pulmonary embolism","score":0.9900000095367432},{"id":"https://openalex.org/keywords/topological-data-analysis","display_name":"topological data analysis","score":0.9559999704360962},{"id":"https://openalex.org/keywords/clinical-prediction-rules","display_name":"clinical prediction rules","score":0.8330000042915344},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.6899999976158142},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.7720000147819519},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.5669999718666077},{"id":"https://openalex.org/keywords/wells-score","display_name":"Wells score","score":0.7630000114440918},{"id":"https://openalex.org/keywords/revised-geneva-score","display_name":"revised Geneva score","score":0.8299999833106995},{"id":"https://openalex.org/keywords/diagnostic-probability","display_name":"diagnostic probability","score":0.5619999766349792},{"id":"https://openalex.org/keywords/patient-clustering","display_name":"patient clustering","score":0.5260000228881836},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.7239999771118164}],"concepts":[{"id":"https://openalex.org/C2776477805","wikidata":"https://www.wikidata.org/wiki/Q4460773","display_name":"Topological data analysis","level":2,"score":0.6034868955612183},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5194470286369324},{"id":"https://openalex.org/C2776265017","wikidata":"https://www.wikidata.org/wiki/Q220570","display_name":"Pulmonary embolism","level":2,"score":0.5053532719612122},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4883401095867157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47728386521339417},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4530191421508789},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44378355145454407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4371248483657837},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43083804845809937},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43030235171318054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37747859954833984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3607628345489502},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.342451274394989},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.11240780353546143},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:arXiv.org:1409.5020","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1409.5020","pdf_url":"https://arxiv.org/pdf/1409.5020","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},{"id":"pmh:oai:cris.unibo.it:11585/620948","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11585/620948","pdf_url":"http://arxiv.org/abs/1409.5020v1","source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"},{"id":"pmh:oai:cris.unibo.it:11585/621106","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/621106","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.1409.5020","doi":"https://doi.org/10.48550/arxiv.1409.5020","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1409.5020","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Preprint"},{"id":"mag:2962840331","doi":null,"is_oa":true,"landing_page_url":"http://cdn.ayasdi.com/wp-content/uploads/2016/01/JTACS_2015_01_05-1.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764569393","display_name":"Applied Computer Science","issn_l":"1895-3735","issn":["1895-3735","2353-6977"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","erih-plus","poland-70","russia-white-list-3"],"host_organization":"https://openalex.org/P4310317398","host_organization_name":"Polish Association for Knowledge Promotion","host_organization_lineage":["https://openalex.org/P4310317398"],"host_organization_lineage_names":["Polish Association for Knowledge Promotion"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Applied Computer Science","raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1409.5020","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1409.5020","pdf_url":"https://arxiv.org/pdf/1409.5020","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9940000176429749}],"sustainable_development_goals_aurora":[{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4300000071525574}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2203972493","display_name":null,"funder_award_id":"FP7 ICT","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320318977","display_name":"Institute for Scientific Interchange","ror":"https://ror.org/00te2x188"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338370","display_name":"FP7 Information and Communication Technologies","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1514205146","https://openalex.org/W1560392060","https://openalex.org/W1607787316","https://openalex.org/W1680392829","https://openalex.org/W1968114652","https://openalex.org/W1970889259","https://openalex.org/W1979528851","https://openalex.org/W1982484150","https://openalex.org/W1989757660","https://openalex.org/W1991777673","https://openalex.org/W1993785915","https://openalex.org/W1998447990","https://openalex.org/W2006376667","https://openalex.org/W2008353316","https://openalex.org/W2043306284","https://openalex.org/W2077562320","https://openalex.org/W2078622638","https://openalex.org/W2082194143","https://openalex.org/W2092336815","https://openalex.org/W2095728038","https://openalex.org/W2096352448","https://openalex.org/W2101927907","https://openalex.org/W2104960492","https://openalex.org/W2108020239","https://openalex.org/W2110134277","https://openalex.org/W2112478769","https://openalex.org/W2124637492","https://openalex.org/W2133619004","https://openalex.org/W2154268385","https://openalex.org/W2157825442","https://openalex.org/W2328176404","https://openalex.org/W2400240907","https://openalex.org/W2615906248"],"related_works":["https://openalex.org/W1825716890","https://openalex.org/W1607787316","https://openalex.org/W1991566301","https://openalex.org/W2107385756","https://openalex.org/W1989757660","https://openalex.org/W3140579943","https://openalex.org/W2261714614","https://openalex.org/W1839682376","https://openalex.org/W2082194143","https://openalex.org/W2032781488","https://openalex.org/W3036036765","https://openalex.org/W2609141739","https://openalex.org/W3102905905","https://openalex.org/W3008627481","https://openalex.org/W3115788620","https://openalex.org/W2510175015","https://openalex.org/W1547036818","https://openalex.org/W2771596807","https://openalex.org/W2520959200","https://openalex.org/W3180967853"],"abstract_inverted_index":{"Pulmonary":[0],"Embolism":[1],"(PE)":[2],"is":[3,231,241],"a":[4,84,224],"common":[5],"and":[6,25,60,67,76,97,171,214,250,262],"potentially":[7],"lethal":[8],"condition.":[9],"Most":[10],"patients":[11,41,189],"die":[12],"within":[13],"the":[14,19,32,50,74,114,137,153,168,181,220,234,244,247,263,282],"first":[15],"few":[16],"hours":[17],"from":[18],"event.":[20],"Despite":[21],"diagnostic":[22,33,38,210],"advances,":[23],"delays":[24],"underdiagnosis":[26],"in":[27,35,167,267],"PE":[28,91,161,177,213],"are":[29,73,192,206],"common.To":[30],"increase":[31],"performance":[34],"PE,":[36],"current":[37],"work-up":[39],"of":[40,52,116,139,176,239,246],"with":[42,49,142,194],"suspected":[43],"acute":[44],"pulmonary":[45],"embolism":[46],"usually":[47],"starts":[48],"assessment":[51],"clinical":[53,61,70,86],"pretest":[54],"probability":[55],"using":[56,152],"plasma":[57],"d-Dimer":[58],"measurement":[59],"prediction":[62,87],"rules.":[63],"The":[64,160,256],"most":[65],"validated":[66],"widely":[68],"used":[69,215,253,266],"decision":[71],"rules":[72],"Wells":[75,275],"Geneva":[77,278],"Revised":[78],"scores.":[79],"We":[80],"aimed":[81],"to":[82,111,135,201,218],"develop":[83],"new":[85],"rule":[88],"(CPR)":[89],"for":[90,105,212,223,281],"based":[92],"on":[93,123],"topological":[94,148,182,259],"data":[95,132,260],"analysis":[96,133,261],"artificial":[98,226],"neural":[99,227],"network.":[100],"Filter":[101],"or":[102,276],"wrapper":[103],"methods":[104],"features":[106,204],"reduction":[107],"cannot":[108],"be":[109,121],"applied":[110,130],"our":[112],"dataset:":[113],"application":[115],"these":[117],"algorithms":[118],"can":[119,269],"only":[120],"performed":[122],"datasets":[124,141],"without":[125],"missing":[126,145],"data.":[127,146],"Instead,":[128],"we":[129],"Topological":[131],"(TDA)":[134],"overcome":[136],"hurdle":[138],"processing":[140],"null":[143],"values":[144],"A":[147],"network":[149,228],"was":[150,198],"developed":[151],"Iris":[154],"software":[155],"(Ayasdi,":[156],"Inc.,":[157],"Palo":[158],"Alto).":[159],"patient":[162,178],"topology":[163],"identified":[164],"two":[165,173],"ares":[166],"pathological":[169],"group":[170],"hence":[172],"distinct":[174],"clusters":[175],"populations.":[179],"Additionally,":[180],"netowrk":[183],"detected":[184],"several":[185],"sub-groups":[186],"among":[187,254],"healthy":[188],"that":[190,233],"likely":[191],"affected":[193],"non-PE":[195],"diseases.":[196],"TDA":[197],"further":[199],"utilized":[200],"identify":[202],"key":[203],"which":[205],"best":[207],"associated":[208],"as":[209],"factors":[211],"this":[216],"information":[217],"define":[219],"input":[221],"space":[222],"back-propagation":[225],"(BP-ANN).":[229],"It":[230],"shown":[232],"area":[235],"under":[236],"curve":[237],"(AUC)":[238],"BP-ANN":[240],"greater":[242],"than":[243,274],"AUCs":[245],"scores":[248,279],"(Wells":[249],"revised":[251,277],"Geneva)":[252],"physicians.":[255],"results":[257],"demonstrate":[258],"BP-ANN,":[264],"when":[265],"combination,":[268],"produce":[270],"better":[271],"predictive":[272],"models":[273],"system":[280],"analyzed":[283],"cohort":[284]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2026-10-15T10:00:46.086208","created_date":"2025-10-10T00:00:00"}
