{"id":"https://openalex.org/W2166794017","doi":"https://doi.org/10.48550/arxiv.1303.5145","title":"Node-Based Learning of Multiple Gaussian Graphical Models","display_name":"Node-Based Learning of Multiple Gaussian Graphical Models","publication_year":2013,"publication_date":"2013-03-21","ids":{"openalex":"https://openalex.org/W2166794017","doi":"https://doi.org/10.48550/arxiv.1303.5145","mag":"2166794017","pmid":"https://pubmed.ncbi.nlm.nih.gov/25309137","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/4193819"},"language":"en","primary_location":{"id":"pmid:25309137","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25309137","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,"listed_in":[],"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 machine learning research : JMLR","raw_type":"Journal Article"},"parent_works":[],"lineage":["https://openalex.org/W2166794017"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["arxiv","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4193819","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102727491","display_name":"Karthik Mohan","orcid":"https://orcid.org/0009-0003-2763-8688","observed_orcids":["https://orcid.org/0009-0003-2763-8688"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohan, Karthik","raw_affiliation_strings":["Department of Electrical Engineering University of Washington Seattle WA , 98195","Dept. of Electrical Engg., University of Washington, Seattle, WA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering University of Washington Seattle WA , 98195","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Dept. of Electrical Engg., University of Washington, Seattle, WA#TAB#","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059873879","display_name":"Palma London","orcid":"https://orcid.org/0000-0001-6472-8293","observed_orcids":["https://orcid.org/0000-0001-6472-8293"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"London, Palma","raw_affiliation_strings":["Department of Electrical Engineering University of Washington Seattle WA , 98195","Dept. of Electrical Engg., University of Washington, Seattle, WA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering University of Washington Seattle WA , 98195","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Dept. of Electrical Engg., University of Washington, Seattle, WA#TAB#","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102886973","display_name":"Maryam Fazel","orcid":"https://orcid.org/0000-0001-5329-4522","observed_orcids":["https://orcid.org/0000-0001-5329-4522"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fazel, Maryam","raw_affiliation_strings":["Department of Electrical Engineering University of Washington Seattle WA , 98195","Dept. of Electrical Engg., University of Washington, Seattle, WA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering University of Washington Seattle WA , 98195","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Dept. of Electrical Engg., University of Washington, Seattle, WA#TAB#","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031682567","display_name":"Daniela Witten","orcid":"https://orcid.org/0000-0002-1764-1184","observed_orcids":["https://orcid.org/0000-0002-1764-1184"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Witten, Daniela","raw_affiliation_strings":["Department of Biostatistics University of Washington Seattle WA , 98195","\u2016Department of Biostatistics, University of Washington, Seattle, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics University of Washington Seattle WA , 98195","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"\u2016Department of Biostatistics, University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028723221","display_name":"Su\u2010In Lee","orcid":"https://orcid.org/0000-0001-5833-5215","observed_orcids":["https://orcid.org/0000-0001-5833-5215"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lee, Su-In","raw_affiliation_strings":["Department of Biostatistics University of Washington Seattle WA , 98195","Departments of Computer Science and Engineering, Genome Sciences, University of Washington, Seattle, WA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics University of Washington Seattle WA , 98195","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Departments of Computer Science and Engineering, Genome Sciences, University of Washington, Seattle, WA#TAB#","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":8.553,"has_fulltext":true,"cited_by_count":176,"citation_normalized_percentile":{"value":0.98354109,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"15","issue":"1","first_page":"445","last_page":"488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.002400000113993883,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.00039999998989515007,"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/sparse-precision-matrix-estimation","display_name":"sparse precision matrix estimation","score":0.44999998807907104},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"convex optimization","score":0.6690000295639038},{"id":"https://openalex.org/keywords/alternating-direction-method-of-multipliers","display_name":"alternating direction method of multipliers","score":0.9959999918937683},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.5529999732971191},{"id":"https://openalex.org/keywords/necessary-and-sufficient-conditions","display_name":"necessary and sufficient conditions","score":0.6729999780654907},{"id":"https://openalex.org/keywords/problem-decomposition","display_name":"problem decomposition","score":0.4650000035762787},{"id":"https://openalex.org/keywords/gene-expression-networks","display_name":"gene expression networks","score":0.5849999785423279},{"id":"https://openalex.org/keywords/brain-cancer","display_name":"brain cancer","score":0.8069999814033508}],"concepts":[{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.6287233233451843},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6203902959823608},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5487415194511414},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5380375385284424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5369086265563965},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5179811716079712},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4541865587234497},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.43688973784446716},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.43270495533943176},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.35969114303588867},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3563891351222992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3490794897079468},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34175732731819153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2551295757293701},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"pmid:25309137","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25309137","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,"listed_in":[],"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 machine learning research : JMLR","raw_type":"Journal Article"},{"id":"pmh:oai:europepmc.org:3162940","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4193819","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,"listed_in":[],"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:4193819","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC4193819/","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,"listed_in":[],"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"J Mach Learn Res","raw_type":"Text"},{"id":"pmh:oai:arXiv.org:1303.5145","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1303.5145","pdf_url":"https://arxiv.org/pdf/1303.5145","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1303.5145","doi":"https://doi.org/10.48550/arxiv.1303.5145","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1303.5145","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:2166794017","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25309137","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,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":"PubMed","raw_type":null}],"best_oa_location":{"id":"pmh:oai:europepmc.org:3162940","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4193819","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,"listed_in":[],"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2793972823","display_name":"CAREER: Parsimonious Modeling via Matrix Minimization","funder_award_id":"0847077","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3548460755","display_name":"High-dimensional unsupervised learning, with applications to genomics","funder_award_id":"DP5OD009145","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6250954628","display_name":null,"funder_award_id":"ECCS-0847077","funder_id":"https://openalex.org/F4320337392","funder_display_name":"Division of Electrical, Communications and Cyber Systems"},{"id":"https://openalex.org/G8382084629","display_name":"CAREER: Flexible Network Estimation from High-Dimensional Data","funder_award_id":"1252624","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/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2166794017.pdf","grobid_xml":"https://content.openalex.org/works/W2166794017.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1500586884","https://openalex.org/W1600202130","https://openalex.org/W1923817890","https://openalex.org/W1962147060","https://openalex.org/W1965048988","https://openalex.org/W1970554427","https://openalex.org/W1974105260","https://openalex.org/W1989060270","https://openalex.org/W2007822845","https://openalex.org/W2020925091","https://openalex.org/W2044600950","https://openalex.org/W2045079045","https://openalex.org/W2058532290","https://openalex.org/W2074360197","https://openalex.org/W2081746825","https://openalex.org/W2083138589","https://openalex.org/W2087805683","https://openalex.org/W2095764512","https://openalex.org/W2098589050","https://openalex.org/W2100640770","https://openalex.org/W2105693192","https://openalex.org/W2106802398","https://openalex.org/W2107665951","https://openalex.org/W2107851174","https://openalex.org/W2107861471","https://openalex.org/W2116805437","https://openalex.org/W2118382442","https://openalex.org/W2122712590","https://openalex.org/W2126976013","https://openalex.org/W2128208871","https://openalex.org/W2132555912","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2140514146","https://openalex.org/W2151128232","https://openalex.org/W2151258296","https://openalex.org/W2151608460","https://openalex.org/W2154290889","https://openalex.org/W2155681181","https://openalex.org/W2161289668","https://openalex.org/W2163707651","https://openalex.org/W2164278908","https://openalex.org/W2164301055","https://openalex.org/W2165009258","https://openalex.org/W2185133926","https://openalex.org/W2562162676","https://openalex.org/W2962826552","https://openalex.org/W2964102750","https://openalex.org/W3141222251"],"related_works":["https://openalex.org/W2095764512","https://openalex.org/W197443874","https://openalex.org/W7098371439","https://openalex.org/W1528284822","https://openalex.org/W2098589050","https://openalex.org/W1516664694","https://openalex.org/W3097976806","https://openalex.org/W3192502863","https://openalex.org/W2106895029","https://openalex.org/W6992373642"],"abstract_inverted_index":{"penalty":[0],"function,":[1],"we":[2,27],"formulate":[3],"two":[4,12],"convex":[5],"optimization":[6],"problems":[7,17],"that":[8,36,47],"correspond":[9],"to":[10,39,53],"these":[11,16],"assumptions.":[13],"We":[14],"solve":[15],"using":[18],"an":[19],"alternating":[20],"direction":[21],"method":[22],"of":[23,31],"multipliers":[24],"algorithm,":[25],"and":[26,33,67],"derive":[28],"a":[29,63,68],"set":[30],"necessary":[32],"sufficient":[34],"conditions":[35],"allows":[37],"us":[38],"decompose":[40],"the":[41],"problem":[42],"into":[43],"independent":[44],"subproblems":[45],"so":[46],"our":[48],"algorithm":[49],"can":[50],"be":[51],"scaled":[52],"high-dimensional":[54],"settings.":[55],"Our":[56],"proposal":[57],"is":[58],"illustrated":[59],"on":[60],"synthetic":[61],"data,":[62],"webpage":[64],"data":[65,73],"set,":[66],"brain":[69],"cancer":[70],"gene":[71],"expression":[72],"set.":[74]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":23},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}