{"id":"https://openalex.org/W2114127539","doi":"https://doi.org/10.1093/bioinformatics/btq005","title":"Bayesian rule learning for biomedical data mining","display_name":"Bayesian rule learning for biomedical data mining","publication_year":2010,"publication_date":"2010-01-14","ids":{"openalex":"https://openalex.org/W2114127539","doi":"https://doi.org/10.1093/bioinformatics/btq005","mag":"2114127539","pmid":"https://pubmed.ncbi.nlm.nih.gov/20080512"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/btq005","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btq005","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/26/5/668/16897540/btq005.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bioinformatics/article-pdf/26/5/668/16897540/btq005.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069347895","display_name":"Vanathi Gopalakrishnan","orcid":"https://orcid.org/0000-0002-7813-4055"},"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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vanathi Gopalakrishnan","raw_affiliation_strings":["Department of Biomedical Informatics, University of Pittsburgh, 200 Meyran Avenue Suite M-183, Pittsburgh, PA 15260, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Pittsburgh, 200 Meyran Avenue Suite M-183, Pittsburgh, PA 15260, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110127077","display_name":"Jonathan L. Lustgarten","orcid":null},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan L. Lustgarten","raw_affiliation_strings":["Department of Biomedical Informatics, University of Pittsburgh, 200 Meyran Avenue Suite M-183, Pittsburgh, PA 15260, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Pittsburgh, 200 Meyran Avenue Suite M-183, Pittsburgh, PA 15260, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036362467","display_name":"Shyam Visweswaran","orcid":"https://orcid.org/0000-0002-2079-8684"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shyam Visweswaran","raw_affiliation_strings":["Department of Biomedical Informatics, University of Pittsburgh, 200 Meyran Avenue Suite M-183, Pittsburgh, PA 15260, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Pittsburgh, 200 Meyran Avenue Suite M-183, Pittsburgh, PA 15260, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039985406","display_name":"Gregory F. Cooper","orcid":"https://orcid.org/0000-0002-9276-773X"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory F. Cooper","raw_affiliation_strings":["Department of Biomedical Informatics, University of Pittsburgh, 200 Meyran Avenue Suite M-183, Pittsburgh, PA 15260, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Pittsburgh, 200 Meyran Avenue Suite M-183, Pittsburgh, PA 15260, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069347895"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":null,"fwci":1.762,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.84287436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":"5","first_page":"668","last_page":"675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9973000288009644,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9904999732971191,"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/computer-science","display_name":"Computer science","score":0.7392784953117371},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6983180046081543},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6591352224349976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6365669369697571},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5888431668281555},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5767200589179993},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5762213468551636},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5152590274810791},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5138711929321289},{"id":"https://openalex.org/keywords/biomarker-discovery","display_name":"Biomarker discovery","score":0.5126708745956421},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5124838352203369},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4864461421966553},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.45122212171554565},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4246671199798584},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.42461097240448},{"id":"https://openalex.org/keywords/rule-induction","display_name":"Rule induction","score":0.4244574308395386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7392784953117371},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6983180046081543},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6591352224349976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6365669369697571},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5888431668281555},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5767200589179993},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5762213468551636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5152590274810791},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5138711929321289},{"id":"https://openalex.org/C124535831","wikidata":"https://www.wikidata.org/wiki/Q4915074","display_name":"Biomarker discovery","level":4,"score":0.5126708745956421},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5124838352203369},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4864461421966553},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.45122212171554565},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4246671199798584},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.42461097240448},{"id":"https://openalex.org/C2776780472","wikidata":"https://www.wikidata.org/wiki/Q7378945","display_name":"Rule induction","level":2,"score":0.4244574308395386},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C46111723","wikidata":"https://www.wikidata.org/wiki/Q471857","display_name":"Proteomics","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","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":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D015415","descriptor_name":"Biomarkers","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020543","descriptor_name":"Proteome","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/bioinformatics/btq005","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btq005","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/26/5/668/16897540/btq005.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:20080512","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20080512","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":"Bioinformatics (Oxford, England)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:2852212","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2852212","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bioinformatics/btq005","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/btq005","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/26/5/668/16897540/btq005.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.75}],"awards":[{"id":"https://openalex.org/G4382683242","display_name":"ITR: Bayesian Modeling for Biosurveillance","funder_award_id":"0325581","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310174","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2114127539.pdf","grobid_xml":"https://content.openalex.org/works/W2114127539.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W40676382","https://openalex.org/W104494335","https://openalex.org/W392423658","https://openalex.org/W1485477604","https://openalex.org/W1486487250","https://openalex.org/W1551136530","https://openalex.org/W1560410986","https://openalex.org/W1570448133","https://openalex.org/W1583837637","https://openalex.org/W1584207132","https://openalex.org/W1585743408","https://openalex.org/W1602576879","https://openalex.org/W1670263352","https://openalex.org/W1698663318","https://openalex.org/W1727290854","https://openalex.org/W1864566053","https://openalex.org/W1964638171","https://openalex.org/W1976564639","https://openalex.org/W1987320642","https://openalex.org/W1987572677","https://openalex.org/W2000771269","https://openalex.org/W2008233728","https://openalex.org/W2008906462","https://openalex.org/W2018840890","https://openalex.org/W2039509869","https://openalex.org/W2050559027","https://openalex.org/W2064208261","https://openalex.org/W2080828514","https://openalex.org/W2087684630","https://openalex.org/W2088851040","https://openalex.org/W2097413644","https://openalex.org/W2098475626","https://openalex.org/W2109363337","https://openalex.org/W2111221376","https://openalex.org/W2111746072","https://openalex.org/W2119024794","https://openalex.org/W2122128696","https://openalex.org/W2124704116","https://openalex.org/W2125055259","https://openalex.org/W2126214330","https://openalex.org/W2128985829","https://openalex.org/W2137476312","https://openalex.org/W2138218344","https://openalex.org/W2140190241","https://openalex.org/W2140445641","https://openalex.org/W2149706766","https://openalex.org/W2157531738","https://openalex.org/W2158823144","https://openalex.org/W2159080219","https://openalex.org/W2159400887","https://openalex.org/W2172300860","https://openalex.org/W2244062764","https://openalex.org/W2442855540","https://openalex.org/W2545952006","https://openalex.org/W3204616723","https://openalex.org/W4236137412","https://openalex.org/W4236354166","https://openalex.org/W4246697467","https://openalex.org/W4248700314","https://openalex.org/W4250808989","https://openalex.org/W4300772055","https://openalex.org/W6601630744","https://openalex.org/W6604359455","https://openalex.org/W6632976901","https://openalex.org/W6633472343","https://openalex.org/W6634844176","https://openalex.org/W6635046684","https://openalex.org/W6637074454","https://openalex.org/W6637293442","https://openalex.org/W6639220162","https://openalex.org/W6676861056","https://openalex.org/W6683157813","https://openalex.org/W6685707568","https://openalex.org/W7064146908"],"related_works":["https://openalex.org/W2072389162","https://openalex.org/W2561451072","https://openalex.org/W2774409638","https://openalex.org/W4385957992","https://openalex.org/W1860287682","https://openalex.org/W2753218748","https://openalex.org/W2318504325","https://openalex.org/W2789413038","https://openalex.org/W4286903091","https://openalex.org/W3033035387"],"abstract_inverted_index":{"We":[0,53],"have":[1],"combined":[2],"the":[3,8,32,39,60,109],"expressiveness":[4],"of":[5,11,31],"rules":[6,48],"with":[7],"mathematical":[9],"rigor":[10],"Bayesian":[12,20],"networks":[13],"(BNs)":[14],"to":[15,42,58],"develop":[16],"and":[17,79,121],"evaluate":[18,59],"a":[19,28],"rule":[21,92],"learning":[22,93],"(BRL)":[23],"system.":[24],"This":[25],"system":[26,71],"utilizes":[27],"novel":[29],"variant":[30],"K2":[33],"algorithm":[34],"for":[35,46,112,118],"building":[36],"BNs":[37],"from":[38],"training":[40],"data":[41],"provide":[43],"probabilistic":[44],"scores":[45],"IF-antecedent-THEN-consequent":[47],"using":[49],"heuristic":[50],"best-first":[51],"search.":[52],"then":[54],"apply":[55],"rule-based":[56],"inference":[57],"learned":[61],"models":[62,98],"during":[63],"10-fold":[64],"cross-validation":[65],"performed":[66],"two":[67],"times.":[68],"The":[69],"BRL":[70,96],"is":[72],"evaluated":[73],"on":[74,80,84,101],"24":[75],"published":[76],"'omic'":[77],"datasets,":[78],"average":[81,102],"it":[82],"performs":[83],"par":[85],"or":[86],"better":[87],"than":[88],"other":[89],"readily":[90],"available":[91],"methods.":[94],"Moreover,":[95],"produces":[97],"that":[99,108],"contain":[100,115],"70%":[103],"fewer":[104,116],"variables,":[105],"which":[106],"means":[107],"biomarker":[110],"panels":[111],"disease":[113],"prediction":[114],"markers":[117],"further":[119],"verification":[120],"validation":[122],"by":[123],"bench":[124],"scientists.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
