{"id":"https://openalex.org/W1982734154","doi":"https://doi.org/10.1021/ci100399j","title":"Ligand Classifier of Adaptively Boosting Ensemble Decision Stumps (LiCABEDS) and Its Application on Modeling Ligand Functionality for 5HT-Subtype GPCR Families","display_name":"Ligand Classifier of Adaptively Boosting Ensemble Decision Stumps (LiCABEDS) and Its Application on Modeling Ligand Functionality for 5HT-Subtype GPCR Families","publication_year":2011,"publication_date":"2011-03-07","ids":{"openalex":"https://openalex.org/W1982734154","doi":"https://doi.org/10.1021/ci100399j","mag":"1982734154","pmid":"https://pubmed.ncbi.nlm.nih.gov/21381738"},"language":"en","primary_location":{"id":"doi:10.1021/ci100399j","is_oa":false,"landing_page_url":"https://doi.org/10.1021/ci100399j","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/A5101862819","display_name":"Chao Ma","orcid":"https://orcid.org/0000-0002-4653-6543"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]},{"id":"https://openalex.org/I2799424032","display_name":"Discovery Institute","ror":"https://ror.org/05t8s3y29","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799424032"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chao Ma","raw_affiliation_strings":["Department of Computational Biology, Joint Pitt/CMU Computational Biology Program, School of Medicine; \u2021Department of Pharmaceutical Sciences, School of Pharmacy; and \u00a7Pittsburgh Center for Chemical Methodologies & Library Development (PCMLD) and Drug Discovery InstituteUniversity of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computational Biology, Joint Pitt/CMU Computational Biology Program, School of Medicine; \u2021Department of Pharmaceutical Sciences, School of Pharmacy; and \u00a7Pittsburgh Center for Chemical Methodologies & Library Development (PCMLD) and Drug Discovery InstituteUniversity of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States","institution_ids":["https://openalex.org/I2799424032","https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641514","display_name":"Lirong Wang","orcid":"https://orcid.org/0000-0002-2446-0656"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]},{"id":"https://openalex.org/I2799424032","display_name":"Discovery Institute","ror":"https://ror.org/05t8s3y29","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799424032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lirong Wang","raw_affiliation_strings":["Department of Computational Biology, Joint Pitt/CMU Computational Biology Program, School of Medicine; \u2021Department of Pharmaceutical Sciences, School of Pharmacy; and \u00a7Pittsburgh Center for Chemical Methodologies & Library Development (PCMLD) and Drug Discovery InstituteUniversity of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computational Biology, Joint Pitt/CMU Computational Biology Program, School of Medicine; \u2021Department of Pharmaceutical Sciences, School of Pharmacy; and \u00a7Pittsburgh Center for Chemical Methodologies & Library Development (PCMLD) and Drug Discovery InstituteUniversity of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States","institution_ids":["https://openalex.org/I2799424032","https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028011485","display_name":"Xiang\u2010Qun Xie","orcid":"https://orcid.org/0000-0002-6881-6175"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]},{"id":"https://openalex.org/I2799424032","display_name":"Discovery Institute","ror":"https://ror.org/05t8s3y29","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799424032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang-Qun Xie","raw_affiliation_strings":["Department of Computational Biology, Joint Pitt/CMU Computational Biology Program, School of Medicine; \u2021Department of Pharmaceutical Sciences, School of Pharmacy; and \u00a7Pittsburgh Center for Chemical Methodologies & Library Development (PCMLD) and Drug Discovery InstituteUniversity of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computational Biology, Joint Pitt/CMU Computational Biology Program, School of Medicine; \u2021Department of Pharmaceutical Sciences, School of Pharmacy; and \u00a7Pittsburgh Center for Chemical Methodologies & Library Development (PCMLD) and Drug Discovery InstituteUniversity of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States","institution_ids":["https://openalex.org/I2799424032","https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101862819"],"corresponding_institution_ids":["https://openalex.org/I170201317","https://openalex.org/I2799424032"],"apc_list":null,"apc_paid":null,"fwci":1.27712802,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.78299896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"51","issue":"3","first_page":"521","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11178","display_name":"Receptor Mechanisms and Signaling","score":0.9782999753952026,"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"}},{"id":"https://openalex.org/T12255","display_name":"Biosimilars and Bioanalytical Methods","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7324684858322144},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6893245577812195},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6189815402030945},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5836361050605774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5755243897438049},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5133325457572937},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4730514585971832},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4718515872955322},{"id":"https://openalex.org/keywords/cheminformatics","display_name":"Cheminformatics","score":0.47032034397125244},{"id":"https://openalex.org/keywords/biological-data","display_name":"Biological data","score":0.46435096859931946},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.41831791400909424},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2418564260005951},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.22118833661079407},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10675069689750671}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324684858322144},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6893245577812195},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6189815402030945},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5836361050605774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5755243897438049},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5133325457572937},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4730514585971832},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4718515872955322},{"id":"https://openalex.org/C68762167","wikidata":"https://www.wikidata.org/wiki/Q910164","display_name":"Cheminformatics","level":2,"score":0.47032034397125244},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.46435096859931946},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.41831791400909424},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2418564260005951},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.22118833661079407},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10675069689750671}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D043562","descriptor_name":"Receptors, G-Protein-Coupled","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012701","descriptor_name":"Serotonin","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D043562","descriptor_name":"Receptors, G-Protein-Coupled","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012701","descriptor_name":"Serotonin","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D043562","descriptor_name":"Receptors, G-Protein-Coupled","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012701","descriptor_name":"Serotonin","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D043562","descriptor_name":"Receptors, G-Protein-Coupled","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012701","descriptor_name":"Serotonin","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D043562","descriptor_name":"Receptors, G-Protein-Coupled","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012701","descriptor_name":"Serotonin","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1021/ci100399j","is_oa":false,"landing_page_url":"https://doi.org/10.1021/ci100399j","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:21381738","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21381738","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},{"id":"pmh:oai:europepmc.org:2317740","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3065508","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W305327210","https://openalex.org/W1540371141","https://openalex.org/W1594031697","https://openalex.org/W1663973292","https://openalex.org/W1887505003","https://openalex.org/W1964976889","https://openalex.org/W1983610905","https://openalex.org/W1987197599","https://openalex.org/W1988790447","https://openalex.org/W2005329278","https://openalex.org/W2010519792","https://openalex.org/W2012949016","https://openalex.org/W2014044607","https://openalex.org/W2020756525","https://openalex.org/W2045895434","https://openalex.org/W2055043387","https://openalex.org/W2063060349","https://openalex.org/W2076412827","https://openalex.org/W2076822122","https://openalex.org/W2078240823","https://openalex.org/W2089589794","https://openalex.org/W2094568831","https://openalex.org/W2098889731","https://openalex.org/W2105206600","https://openalex.org/W2109921168","https://openalex.org/W2117812871","https://openalex.org/W2125253492","https://openalex.org/W2145073242","https://openalex.org/W2148797284","https://openalex.org/W2162964640","https://openalex.org/W2163646378","https://openalex.org/W2164165673","https://openalex.org/W2220968785","https://openalex.org/W2989429641","https://openalex.org/W3085162807","https://openalex.org/W4212863985"],"related_works":["https://openalex.org/W1573015311","https://openalex.org/W1487671059","https://openalex.org/W2905156999","https://openalex.org/W4229460275","https://openalex.org/W4296079469","https://openalex.org/W1987518466","https://openalex.org/W3135046080","https://openalex.org/W3023033471","https://openalex.org/W2809161969","https://openalex.org/W4391079499"],"abstract_inverted_index":{"Advanced":[0],"high-throughput":[1],"screening":[2],"(HTS)":[3],"technologies":[4],"generate":[5],"great":[6],"amounts":[7],"of":[8,57,76,87,104,149,158,177],"bioactivity":[9],"data,":[10],"and":[11,18,40,44,51,85,99,125,141,163,171,187,195],"this":[12,63],"data":[13,60,90,180],"needs":[14],"to":[15,22,38,48,92,173,200],"be":[16],"analyzed":[17],"interpreted":[19],"with":[20],"attention":[21],"understand":[23],"how":[24],"these":[25,58],"small":[26],"molecules":[27],"affect":[28],"biological":[29],"systems.":[30],"As":[31],"such,":[32],"there":[33],"is":[34,220],"an":[35,97],"increasing":[36],"demand":[37],"develop":[39],"adapt":[41],"cheminformatics":[42],"algorithms":[43],"tools":[45],"in":[46,96,153],"order":[47],"predict":[49,93],"molecular":[50,119,150],"pharmacological":[52,94],"properties":[53,95],"on":[54,145],"the":[55,156,175,191,202],"basis":[56],"large":[59,88],"sets.":[61],"In":[62,189],"manuscript,":[64],"we":[65],"report":[66],"a":[67,164,215],"novel":[68],"machine-learning-based":[69],"ligand":[70,111],"classification":[71,139],"algorithm,":[72],"named":[73],"Ligand":[74],"Classifier":[75],"Adaptively":[77],"Boosting":[78],"Ensemble":[79],"Decision":[80],"Stumps":[81],"(LiCABEDS),":[82],"for":[83],"data-mining":[84],"modeling":[86],"chemical":[89],"sets":[91],"efficient":[98],"accurate":[100],"manner.":[101],"The":[102,208],"performance":[103],"LiCABEDS":[105,133,209],"was":[106],"evaluated":[107],"through":[108],"predicting":[109],"GPCR":[110],"functionality":[112],"(agonist":[113],"or":[114],"antagonist)":[115],"using":[116],"four":[117,147],"different":[118],"fingerprints,":[120],"including":[121,155],"Maccs,":[122],"FP2,":[123],"Unity,":[124],"Molprint":[126],"2D":[127],"fingerprints.":[128,151],"Our":[129],"studies":[130],"showed":[131],"that":[132,219],"outperformed":[134],"two":[135],"other":[136],"popular":[137],"techniques,":[138],"tree":[140],"Naive":[142],"Bayes":[143],"classifier,":[144],"all":[146],"types":[148],"Parameters":[152],"LiCABEDS,":[154],"number":[157],"boosting":[159],"iterations,":[160],"initialization":[161],"condition,":[162],"\"reject":[165],"option\"":[166],"boundary,":[167],"were":[168],"thoroughly":[169],"explored":[170],"discussed":[172],"demonstrate":[174],"capability":[176],"handling":[178],"imbalanced":[179],"sets,":[181],"as":[182,184],"well":[183],"its":[185],"robustness":[186],"flexibility.":[188],"addition,":[190],"detailed":[192],"mathematical":[193],"concepts":[194],"theory":[196],"are":[197],"also":[198],"given":[199],"address":[201],"principle":[203],"behind":[204],"statistical":[205],"prediction":[206],"models.":[207],"algorithm":[210],"has":[211],"been":[212],"implemented":[213],"into":[214],"user-friendly":[216],"software":[217],"package":[218],"accessible":[221],"online":[222],"at":[223],"http://www.cbligand.org/LiCABEDS/":[224],".":[225]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
