{"id":"https://openalex.org/W2097851058","doi":"https://doi.org/10.1109/csb.2003.1227327","title":"LOGOS: a modular Bayesian model for de novo motif detection","display_name":"LOGOS: a modular Bayesian model for de novo motif detection","publication_year":2004,"publication_date":"2004-03-30","ids":{"openalex":"https://openalex.org/W2097851058","doi":"https://doi.org/10.1109/csb.2003.1227327","mag":"2097851058","pmid":"https://pubmed.ncbi.nlm.nih.gov/16452802"},"language":"en","primary_location":{"id":"doi:10.1109/csb.2003.1227327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csb.2003.1227327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003","raw_type":"proceedings-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/A5009547049","display_name":"Eric P. Xing","orcid":"https://orcid.org/0009-0005-9158-4201"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"E.P. Xing","raw_affiliation_strings":["Computer Science Division, University of California, Berkeley, CA, USA","Div. of Comput. Sci., California Univ., Berkeley, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Division, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Div. of Comput. Sci., California Univ., Berkeley, CA, USA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058455030","display_name":"Weibo Wu","orcid":"https://orcid.org/0009-0004-2248-2159"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Wu","raw_affiliation_strings":["Life Sciences Division, Life Berkeley National Laboratory, Berkeley, CA, USA","Life Sciences Division Lawrence Berkeley National Laboratory  Berkeley CA, 94720 USA"],"affiliations":[{"raw_affiliation_string":"Life Sciences Division, Life Berkeley National Laboratory, Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]},{"raw_affiliation_string":"Life Sciences Division Lawrence Berkeley National Laboratory  Berkeley CA, 94720 USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049812527","display_name":"Michael I. Jordan","orcid":"https://orcid.org/0000-0001-8935-817X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.I. Jordan","raw_affiliation_strings":["Computer Science and Statistics, University of California, Berkeley, CA, USA","Computer Science and Statistics, University of California, Berkeley, CA 94720, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Statistics, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Computer Science and Statistics, University of California, Berkeley, CA 94720, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068875104","display_name":"Richard M. Karp","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.M. Karp","raw_affiliation_strings":["Computer Science Division, University of California, Berkeley, CA, USA","Computer Science Division, University of California, Berkeley, CA 94720, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Division, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Computer Science Division, University of California, Berkeley, CA 94720, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009547049"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.9647,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.73130198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"266","last_page":"276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9965000152587891,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9965000152587891,"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/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.987500011920929,"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/motif","display_name":"Motif (music)","score":0.8881267309188843},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6256742477416992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.55820232629776},{"id":"https://openalex.org/keywords/sequence-motif","display_name":"Sequence motif","score":0.5308037400245667},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4998452663421631},{"id":"https://openalex.org/keywords/structural-motif","display_name":"Structural motif","score":0.47528472542762756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4138121008872986},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.22997114062309265},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.16938665509223938},{"id":"https://openalex.org/keywords/dna","display_name":"DNA","score":0.13737645745277405},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10224208235740662}],"concepts":[{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.8881267309188843},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6256742477416992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55820232629776},{"id":"https://openalex.org/C117745874","wikidata":"https://www.wikidata.org/wiki/Q901612","display_name":"Sequence motif","level":3,"score":0.5308037400245667},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4998452663421631},{"id":"https://openalex.org/C132677234","wikidata":"https://www.wikidata.org/wiki/Q3273544","display_name":"Structural motif","level":2,"score":0.47528472542762756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4138121008872986},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.22997114062309265},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.16938665509223938},{"id":"https://openalex.org/C552990157","wikidata":"https://www.wikidata.org/wiki/Q7430","display_name":"DNA","level":2,"score":0.13737645745277405},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10224208235740662},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"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":"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":"D001483","descriptor_name":"Base Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001483","descriptor_name":"Base Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001483","descriptor_name":"Base Sequence","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":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020816","descriptor_name":"Amino Acid Motifs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020816","descriptor_name":"Amino Acid Motifs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020816","descriptor_name":"Amino Acid Motifs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1109/csb.2003.1227327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csb.2003.1227327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003","raw_type":"proceedings-article"},{"id":"pmid:16452802","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/16452802","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":"Proceedings. IEEE Computer Society Bioinformatics Conference","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.109.2971","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.2971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://conferences.computer.org/Bioinformatics/CSB2003/PDF/reg_pprs/026-xing_CSB2003_final.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.330.4255","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.4255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://gatekeeper.research.compaq.com/pub/toomany/paper136.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.5.6891","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.6891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.berkeley.edu/~epxing/Paper/JBCB_LOGOS.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.8.4317","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.8.4317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.berkeley.edu/~jordan/papers/xing-csb03.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1483073028","https://openalex.org/W1516111018","https://openalex.org/W1908709377","https://openalex.org/W1969698218","https://openalex.org/W2003967338","https://openalex.org/W2005244073","https://openalex.org/W2029621301","https://openalex.org/W2032548898","https://openalex.org/W2041877620","https://openalex.org/W2056002855","https://openalex.org/W2073850887","https://openalex.org/W2077013196","https://openalex.org/W2084908610","https://openalex.org/W2101025813","https://openalex.org/W2117549173","https://openalex.org/W2121356022","https://openalex.org/W2122665495","https://openalex.org/W2138717237","https://openalex.org/W2144710927","https://openalex.org/W2147055980","https://openalex.org/W2148441137","https://openalex.org/W2148492651","https://openalex.org/W2165433626","https://openalex.org/W2168157737","https://openalex.org/W2798823272","https://openalex.org/W2963074323","https://openalex.org/W2965858921","https://openalex.org/W3095974152","https://openalex.org/W4237840503","https://openalex.org/W4249255000","https://openalex.org/W6639821106","https://openalex.org/W6669145357","https://openalex.org/W6681991508","https://openalex.org/W6819555311"],"related_works":["https://openalex.org/W2073661767","https://openalex.org/W2380185347","https://openalex.org/W2368410102","https://openalex.org/W2044328609","https://openalex.org/W2370034659","https://openalex.org/W2012993128","https://openalex.org/W3113308218","https://openalex.org/W3021477453","https://openalex.org/W2159636084","https://openalex.org/W2610941444"],"abstract_inverted_index":{"The":[0],"complexity":[1],"of":[2,9,84,116],"the":[3,34,101],"global":[4,108],"organization":[5],"and":[6,38,41,55,72,97,105,114,152,157,160,169,174,183],"internal":[7],"structures":[8,156],"motifs":[10,40,126],"in":[11,154],"higher":[12],"eukaryotic":[13],"organisms":[14],"raises":[15],"significant":[16],"challenges":[17],"for":[18,60,68,77,138],"motif":[19,27,57,75,102,109,117,141,155,158],"detection":[20,28],"techniques.":[21],"To":[22],"achieve":[23],"successful":[24],"de":[25,139],"novo":[26,140],"it":[29],"is":[30,136],"necessary":[31],"to":[32,179],"model":[33,59,92,111],"complex":[35,78],"dependencies":[36,115,153],"within":[37,100,127],"among":[39],"incorporate":[42],"biological":[43,94,150],"prior":[44,95],"knowledge.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"present":[50],"LOGOS,":[51],"an":[52,128],"integrated":[53],"LOcal":[54],"GlObal":[56],"Sequence":[58],"biopolymer":[61,79],"sequences,":[62],"which":[63],"provides":[64],"a":[65,89,107],"principled":[66],"framework":[67],"developing,":[69],"modularizing,":[70],"extending":[71],"computing":[73],"expressive":[74],"models":[76,147],"sequence":[80],"analysis.":[81],"LOGOS":[82,143],"consists":[83],"two":[85],"interacting":[86],"submodels:":[87],"HMDM,":[88],"local":[90,103],"alignment":[91],"capturing":[93],"knowledge":[96],"positional":[98],"dependence":[99],"structure;":[104],"HMM,":[106],"distribution":[110],"modeling":[112],"frequencies":[113],"occurrences.":[118],"Model":[119],"parameters":[120],"can":[121],"be":[122],"fit":[123],"using":[124],"training":[125],"empirical":[129],"Bayesian":[130],"framework.":[131],"A":[132],"variational":[133],"EM":[134],"algorithm":[135],"developed":[137],"detection.":[142],"improves":[144],"over":[145],"existing":[146],"that":[148],"ignore":[149],"priors":[151],"occurrences,":[159],"demonstrates":[161],"superior":[162],"performance":[163],"on":[164],"both":[165],"semi-realistic":[166],"test":[167],"data":[168],"cis-regulatory":[170],"sequences":[171,176],"from":[172],"yeast":[173],"Drosophila":[175],"with":[177],"regard":[178],"sensitivity,":[180],"specificity,":[181],"flexibility":[182],"extensibility.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}