{"id":"https://openalex.org/W2039749139","doi":"https://doi.org/10.1021/ci400466r","title":"Heterogeneous Classifier Fusion for Ligand-Based Virtual Screening: Or, How Decision Making by Committee Can Be a Good Thing","display_name":"Heterogeneous Classifier Fusion for Ligand-Based Virtual Screening: Or, How Decision Making by Committee Can Be a Good Thing","publication_year":2013,"publication_date":"2013-10-30","ids":{"openalex":"https://openalex.org/W2039749139","doi":"https://doi.org/10.1021/ci400466r","mag":"2039749139","pmid":"https://pubmed.ncbi.nlm.nih.gov/24171408"},"language":"en","primary_location":{"id":"doi:10.1021/ci400466r","is_oa":false,"landing_page_url":"https://doi.org/10.1021/ci400466r","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019754904","display_name":"Sereina Riniker","orcid":"https://orcid.org/0000-0003-1893-4031"},"institutions":[{"id":"https://openalex.org/I1283582996","display_name":"Novartis (Switzerland)","ror":"https://ror.org/02f9zrr09","country_code":"CH","type":"company","lineage":["https://openalex.org/I1283582996"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Sereina Riniker","raw_affiliation_strings":["Novartis Institutes for BioMedical Research, Novartis Pharma AG, Novartis Campus, CH-4056 Basel, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Novartis Institutes for BioMedical Research, Novartis Pharma AG, Novartis Campus, CH-4056 Basel, Switzerland","institution_ids":["https://openalex.org/I1283582996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002248255","display_name":"Nikolas Fechner","orcid":"https://orcid.org/0000-0003-3852-3950"},"institutions":[{"id":"https://openalex.org/I1283582996","display_name":"Novartis (Switzerland)","ror":"https://ror.org/02f9zrr09","country_code":"CH","type":"company","lineage":["https://openalex.org/I1283582996"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Nikolas Fechner","raw_affiliation_strings":["Novartis Institutes for BioMedical Research, Novartis Pharma AG, Novartis Campus, CH-4056 Basel, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Novartis Institutes for BioMedical Research, Novartis Pharma AG, Novartis Campus, CH-4056 Basel, Switzerland","institution_ids":["https://openalex.org/I1283582996"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056808182","display_name":"Gregory A. Landrum","orcid":"https://orcid.org/0000-0001-6279-4481"},"institutions":[{"id":"https://openalex.org/I1283582996","display_name":"Novartis (Switzerland)","ror":"https://ror.org/02f9zrr09","country_code":"CH","type":"company","lineage":["https://openalex.org/I1283582996"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Gregory A. Landrum","raw_affiliation_strings":["Novartis Institutes for BioMedical Research, Novartis Pharma AG, Novartis Campus, CH-4056 Basel, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Novartis Institutes for BioMedical Research, Novartis Pharma AG, Novartis Campus, CH-4056 Basel, Switzerland","institution_ids":["https://openalex.org/I1283582996"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056808182"],"corresponding_institution_ids":["https://openalex.org/I1283582996"],"apc_list":null,"apc_paid":null,"fwci":5.9592,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.96475171,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"53","issue":"11","first_page":"2829","last_page":"2836"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9375,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9150999784469604,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5933934450149536},{"id":"https://openalex.org/keywords/virtual-screening","display_name":"Virtual screening","score":0.5924391150474548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5821375250816345},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5581668019294739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47926804423332214},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.351215660572052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3296363353729248},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3213757574558258},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.2526041865348816},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14421898126602173},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.13857686519622803}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5933934450149536},{"id":"https://openalex.org/C103697762","wikidata":"https://www.wikidata.org/wiki/Q4112105","display_name":"Virtual screening","level":3,"score":0.5924391150474548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5821375250816345},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5581668019294739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47926804423332214},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.351215660572052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3296363353729248},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3213757574558258},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2526041865348816},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14421898126602173},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.13857686519622803},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D003657","descriptor_name":"Decision Making","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003657","descriptor_name":"Decision Making","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003657","descriptor_name":"Decision Making","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008024","descriptor_name":"Ligands","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008024","descriptor_name":"Ligands","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008024","descriptor_name":"Ligands","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008958","descriptor_name":"Models, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000037","qualifier_name":"antagonists & inhibitors","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000819","qualifier_name":"agonists","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000819","qualifier_name":"agonists","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000819","qualifier_name":"agonists","is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057166","descriptor_name":"High-Throughput Screening Assays","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D057166","descriptor_name":"High-Throughput Screening Assays","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D057166","descriptor_name":"High-Throughput Screening Assays","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062126","descriptor_name":"Databases, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062126","descriptor_name":"Databases, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062126","descriptor_name":"Databases, Chemical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1021/ci400466r","is_oa":false,"landing_page_url":"https://doi.org/10.1021/ci400466r","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},{"id":"pmid:24171408","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24171408","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":"Journal of chemical information and modeling","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5099999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320333796","display_name":"Novartis Institutes for BioMedical Research","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W603809537","https://openalex.org/W613690151","https://openalex.org/W655662964","https://openalex.org/W1594031697","https://openalex.org/W1625504505","https://openalex.org/W1800056794","https://openalex.org/W1963917497","https://openalex.org/W1964513093","https://openalex.org/W1968171598","https://openalex.org/W1987869189","https://openalex.org/W1988037271","https://openalex.org/W1988195734","https://openalex.org/W1996202672","https://openalex.org/W2000541041","https://openalex.org/W2003998164","https://openalex.org/W2006721374","https://openalex.org/W2007708322","https://openalex.org/W2013313091","https://openalex.org/W2016648380","https://openalex.org/W2016979469","https://openalex.org/W2020447027","https://openalex.org/W2021444228","https://openalex.org/W2021574925","https://openalex.org/W2021748110","https://openalex.org/W2024224430","https://openalex.org/W2025135899","https://openalex.org/W2026909852","https://openalex.org/W2026910177","https://openalex.org/W2028258736","https://openalex.org/W2031250359","https://openalex.org/W2034038739","https://openalex.org/W2052826484","https://openalex.org/W2081266727","https://openalex.org/W2089589794","https://openalex.org/W2091515885","https://openalex.org/W2094125466","https://openalex.org/W2096541451","https://openalex.org/W2100916935","https://openalex.org/W2101234009","https://openalex.org/W2105029490","https://openalex.org/W2112912103","https://openalex.org/W2119512897","https://openalex.org/W2125253492","https://openalex.org/W2140877498","https://openalex.org/W2149654162","https://openalex.org/W2151175139","https://openalex.org/W2155806188","https://openalex.org/W2158275940","https://openalex.org/W2158449659","https://openalex.org/W2165492846","https://openalex.org/W2250181122","https://openalex.org/W2911964244","https://openalex.org/W4232478844","https://openalex.org/W4253863064"],"related_works":["https://openalex.org/W3180887190","https://openalex.org/W2320211095","https://openalex.org/W2308164565","https://openalex.org/W2062768126","https://openalex.org/W3003855012","https://openalex.org/W2059230675","https://openalex.org/W2347569454","https://openalex.org/W4241018400","https://openalex.org/W4211208557","https://openalex.org/W1566373881"],"abstract_inverted_index":{"The":[0,89,143,165,207,236],"concept":[1],"of":[2,8,35,40,72,92,177,200,204,220],"data":[3,45,167,179,238],"fusion":[4,46,71,94,113,227],"-":[5,26,95,103],"the":[6,14,18,38,86,97,213,217,242,252],"combination":[7],"information":[9],"from":[10,53,99,181,196],"different":[11,55,59,100,119],"sources":[12],"describing":[13],"same":[15],"object":[16],"with":[17,130,241],"expectation":[19],"to":[20,50,61,159],"generate":[21],"a":[22,31,148,174,191,197,229],"more":[23],"accurate":[24],"representation":[25],"has":[27,47,104],"found":[28],"application":[29],"in":[30,76,85,162,251],"very":[32,230],"broad":[33,218],"range":[34],"disciplines.":[36],"In":[37],"context":[39],"ligand-based":[41,115,234],"virtual":[42],"screening":[43],"(VS),":[44],"been":[48,82,105],"applied":[49,84],"combine":[51],"knowledge":[52],"either":[54],"active":[56],"molecules":[57],"or":[58],"fingerprints":[60,155],"improve":[62],"similarity":[63],"search":[64],"performance.":[65],"Machine-learning":[66],"(ML)":[67],"methods":[68,144,161,248],"based":[69],"on":[70],"multiple":[73],"homogeneous":[74],"classifiers,":[75],"particular":[77],"random":[78],"forests,":[79],"have":[80],"also":[81,188],"widely":[83],"ML":[87,120,160,247],"literature.":[88],"heterogeneous":[90,111,225],"version":[91],"classifier":[93,112,226],"fusing":[96],"predictions":[98],"model":[101,210],"types":[102],"less":[106],"explored.":[107],"Here,":[108],"we":[109],"investigate":[110],"for":[114,153,171,190,233,246],"VS":[116],"using":[117,147],"three":[118],"methods,":[121],"RF,":[122],"na\u00efve":[123],"Bayes":[124],"(NB),":[125],"and":[126,140,173],"logistic":[127],"regression":[128],"(LR),":[129],"four":[131],"2D":[132,154],"fingerprints,":[133],"atom":[134],"pairs,":[135],"topological":[136],"torsions,":[137],"RDKit":[138],"fingerprint,":[139],"circular":[141],"fingerprint.":[142],"are":[145,169,249],"compared":[146],"previously":[149],"developed":[150],"benchmarking":[151],"platform":[152],"which":[156],"is":[157,183,228],"extended":[158],"this":[163],"article.":[164],"original":[166],"sets":[168,180,186,239],"filtered":[170],"difficulty,":[172],"new":[175,237],"set":[176,199],"challenging":[178],"ChEMBL":[182],"added.":[184],"Data":[185],"were":[187],"generated":[189],"second":[192],"use":[193],"case:":[194],"starting":[195],"small":[198],"related":[201],"actives":[202],"instead":[203],"diverse":[205],"actives.":[206],"final":[208],"fused":[209],"consistently":[211],"outperforms":[212],"other":[214],"approaches":[215],"across":[216],"variety":[219],"targets":[221],"studied,":[222],"indicating":[223],"that":[224],"promising":[231],"approach":[232],"VS.":[235],"together":[240],"adapted":[243],"source":[244],"code":[245],"provided":[250],"Supporting":[253],"Information":[254],".":[255]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":4}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}