{"id":"https://openalex.org/W1998633945","doi":"https://doi.org/10.1073/pnas.1005139107","title":"Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis","display_name":"Probabilistic integrative modeling of genome-scale metabolic and regulatory networks in Escherichia coli and Mycobacterium tuberculosis","publication_year":2010,"publication_date":"2010-09-27","ids":{"openalex":"https://openalex.org/W1998633945","doi":"https://doi.org/10.1073/pnas.1005139107","mag":"1998633945","pmid":"https://pubmed.ncbi.nlm.nih.gov/20876091","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/2955152"},"language":"en","primary_location":{"id":"doi:10.1073/pnas.1005139107","doi":"https://doi.org/10.1073/pnas.1005139107","is_oa":false,"landing_page_url":"https://doi.org/10.1073/pnas.1005139107","pdf_url":null,"source":{"id":"https://openalex.org/S125754415","display_name":"Proceedings of the National Academy of Sciences","issn_l":"0027-8424","issn":["0027-8424","1091-6490"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","erih-plus","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320052","host_organization_name":"National Academy of Sciences","host_organization_lineage":["https://openalex.org/P4310320052"],"host_organization_lineage_names":["National Academy of Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the National Academy of Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2955152","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029772342","display_name":"Sriram Chandrasekaran","orcid":"https://orcid.org/0000-0002-8405-5708","observed_orcids":["https://orcid.org/0000-0002-8405-5708"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I4405271866","display_name":"Carl R. Woese Institute for Genomic Biology","ror":"https://ror.org/036j6yj81","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405271866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sriram Chandrasekaran","raw_affiliation_strings":["Center for Biophysics and Computational Biology,","Institute for Genomic Biology, and","Center for Biophysics and Computational Biology, Institute for Genomic Biology, Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Biophysics and Computational Biology,","institution_ids":[]},{"raw_affiliation_string":"Institute for Genomic Biology, and","institution_ids":["https://openalex.org/I4405271866"]},{"raw_affiliation_string":"Center for Biophysics and Computational Biology, Institute for Genomic Biology, Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801, USA","institution_ids":["https://openalex.org/I157725225","https://openalex.org/I4405271866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034589050","display_name":"Nathan D. Price","orcid":"https://orcid.org/0000-0002-4157-0267","observed_orcids":["https://orcid.org/0000-0002-4157-0267"]},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I4405271866","display_name":"Carl R. Woese Institute for Genomic Biology","ror":"https://ror.org/036j6yj81","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405271866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan D. Price","raw_affiliation_strings":["Center for Biophysics and Computational Biology,","Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801","Institute for Genomic Biology, and"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Biophysics and Computational Biology,","institution_ids":[]},{"raw_affiliation_string":"Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Institute for Genomic Biology, and","institution_ids":["https://openalex.org/I4405271866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.0794,"has_fulltext":false,"cited_by_count":402,"citation_normalized_percentile":{"value":0.98324028,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"107","issue":"41","first_page":"17845","last_page":"17850"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.9901999831199646,"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/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.9901999831199646,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.009200000204145908,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.0003000000142492354,"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/genome-scale-metabolic-models","display_name":"genome-scale metabolic models","score":0.6539999842643738},{"id":"https://openalex.org/keywords/constraint-based-modeling","display_name":"constraint-based modeling","score":0.7990000247955322},{"id":"https://openalex.org/keywords/transcriptional-regulatory-networks","display_name":"transcriptional regulatory networks","score":0.890999972820282},{"id":"https://openalex.org/keywords/escherichia-coli","display_name":"Escherichia coli","score":0.9380000233650208},{"id":"https://openalex.org/keywords/mycobacterium-tuberculosis","display_name":"Mycobacterium tuberculosis","score":1.0},{"id":"https://openalex.org/keywords/growth-rate-prediction","display_name":"growth rate prediction","score":0.8270000219345093},{"id":"https://openalex.org/keywords/drug-target-identification","display_name":"drug target identification","score":0.6110000014305115}],"concepts":[{"id":"https://openalex.org/C101810790","wikidata":"https://www.wikidata.org/wiki/Q2263094","display_name":"Metabolic network","level":2,"score":0.7812015414237976},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.6853097677230835},{"id":"https://openalex.org/C152662350","wikidata":"https://www.wikidata.org/wiki/Q815297","display_name":"Systems biology","level":2,"score":0.5853596925735474},{"id":"https://openalex.org/C67339327","wikidata":"https://www.wikidata.org/wiki/Q1502576","display_name":"Gene regulatory network","level":4,"score":0.5764609575271606},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.5521140694618225},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.46340370178222656},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4581429660320282},{"id":"https://openalex.org/C2777975735","wikidata":"https://www.wikidata.org/wiki/Q130971","display_name":"Mycobacterium tuberculosis","level":3,"score":0.45724889636039734},{"id":"https://openalex.org/C19843653","wikidata":"https://www.wikidata.org/wiki/Q213907","display_name":"Model organism","level":3,"score":0.41372373700141907},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.4042329490184784},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.39573222398757935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33968856930732727},{"id":"https://openalex.org/C2781069245","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Tuberculosis","level":2,"score":0.15781709551811218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15574806928634644},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.09283915162086487},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004926","descriptor_name":"Escherichia coli","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009169","descriptor_name":"Mycobacterium tuberculosis","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D016680","descriptor_name":"Genome, Bacterial","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D049490","descriptor_name":"Systems Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D053858","descriptor_name":"Metabolic Networks and Pathways","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1073/pnas.1005139107","doi":"https://doi.org/10.1073/pnas.1005139107","is_oa":false,"landing_page_url":"https://doi.org/10.1073/pnas.1005139107","pdf_url":null,"source":{"id":"https://openalex.org/S125754415","display_name":"Proceedings of the National Academy of Sciences","issn_l":"0027-8424","issn":["0027-8424","1091-6490"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","erih-plus","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320052","host_organization_name":"National Academy of Sciences","host_organization_lineage":["https://openalex.org/P4310320052"],"host_organization_lineage_names":["National Academy of Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the National Academy of Sciences","raw_type":"journal-article"},{"id":"pmh:oai:europepmc.org:2084122","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2955152","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Text"},{"id":"pmid:20876091","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20876091","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":"Proceedings of the National Academy of Sciences of the United States of America","raw_type":"Evaluation Study"},{"id":"pmh:oai:pubmedcentral.nih.gov:2955152","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC2955152/","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proc Natl Acad Sci U S A","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:europepmc.org:2084122","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2955152","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G304880745","display_name":"Identifying network pertubation using secreted protein profiles in glioblastoma","funder_award_id":"R00CA126184","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G4119534169","display_name":null,"funder_award_id":"W81XWH","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G4671354313","display_name":"DISCOVERY AND VALIDATION OF PERIPHERAL BIOMARKERS OF TRAUMATIC BRAIN INJURY","funder_award_id":"W81XWH0910107","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G5850682332","display_name":null,"funder_award_id":"W81XWH","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","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/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320306274","display_name":"Roy J. Carver Charitable Trust","ror":"https://ror.org/01ah2ch91"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1598136901","https://openalex.org/W1944107535","https://openalex.org/W1976202310","https://openalex.org/W1982309495","https://openalex.org/W1984686364","https://openalex.org/W1996529795","https://openalex.org/W2004361822","https://openalex.org/W2006672203","https://openalex.org/W2007500238","https://openalex.org/W2015502339","https://openalex.org/W2020541351","https://openalex.org/W2025172803","https://openalex.org/W2026089579","https://openalex.org/W2038416356","https://openalex.org/W2047228180","https://openalex.org/W2059546521","https://openalex.org/W2076262841","https://openalex.org/W2082948758","https://openalex.org/W2088590769","https://openalex.org/W2094781659","https://openalex.org/W2097189192","https://openalex.org/W2102545353","https://openalex.org/W2103184043","https://openalex.org/W2106945333","https://openalex.org/W2107333582","https://openalex.org/W2110699703","https://openalex.org/W2112933558","https://openalex.org/W2115108153","https://openalex.org/W2117144170","https://openalex.org/W2126175129","https://openalex.org/W2126176298","https://openalex.org/W2126602684","https://openalex.org/W2128482141","https://openalex.org/W2141362201","https://openalex.org/W2141632349","https://openalex.org/W2147472054","https://openalex.org/W2152824658","https://openalex.org/W2154061034","https://openalex.org/W2157523980","https://openalex.org/W2160533336","https://openalex.org/W2162666840","https://openalex.org/W2167155713","https://openalex.org/W2171280873","https://openalex.org/W4238101851","https://openalex.org/W7100096270"],"related_works":["https://openalex.org/W2259525313","https://openalex.org/W2562250597","https://openalex.org/W2917241299","https://openalex.org/W2949169569","https://openalex.org/W1482574744","https://openalex.org/W178344730","https://openalex.org/W2999678175","https://openalex.org/W2497234643","https://openalex.org/W7100799667","https://openalex.org/W2031010225"],"abstract_inverted_index":{"Prediction":[0],"of":[1,34,50,64,128,137,205,213,233],"metabolic":[2,17,41,176,227],"changes":[3],"that":[4,53,112,237],"result":[5],"from":[6,165],"genetic":[7],"or":[8],"environmental":[9],"perturbations":[10],"has":[11],"several":[12],"important":[13,158,231],"applications,":[14],"including":[15],"diagnosing":[16],"disorders":[18],"and":[19,57,61,91,110,122,178,185,198],"discovering":[20],"novel":[21],"drug":[22],"targets.":[23],"A":[24],"cardinal":[25],"challenge":[26],"in":[27],"obtaining":[28],"accurate":[29,121],"predictions":[30],"is":[31,119,132],"the":[32,39,105,125,129,141,210],"integration":[33,63,212],"transcriptional":[35],"regulatory":[36,219],"networks":[37],"with":[38,192,203,221],"corresponding":[40],"network.":[42],"We":[43],"propose":[44],"a":[45,148,156,214,222],"method":[46,114],"called":[47],"probabilistic":[48],"regulation":[49],"metabolism":[51],"(PROM)":[52],"achieves":[54],"this":[55],"synthesis":[56],"enables":[58],"straightforward,":[59],"automated,":[60],"quantitative":[62],"high-throughput":[65],"data":[66,164],"into":[67],"constraint-based":[68],"modeling,":[69],"making":[70],"it":[71],"an":[72,100],"ideal":[73],"tool":[74],"for":[75,81,104,153,182],"constructing":[76],"genome-scale":[77,149],"regulatory-metabolic":[78,102],"network":[79,103,220],"models":[80,236],"less-studied":[82],"organisms.":[83],"PROM":[84,145,188,208],"introduces":[85],"probabilities":[86],"to":[87,146],"represent":[88],"gene":[89],"states":[90],"gene-transcription":[92],"factor":[93],"interactions.":[94],"By":[95],"using":[96],"PROM,":[97],"we":[98,143],"constructed":[99],"integrated":[101,150],"model":[106,152],"organism,":[107],"Escherichia":[108],"coli,":[109],"demonstrated":[111],"our":[113],"based":[115,133],"on":[116,134],"automated":[117],"inference":[118],"more":[120,166],"comprehensive":[123],"than":[124,167],"current":[126],"state":[127],"art,":[130],"which":[131],"manual":[135],"curation":[136],"literature.":[138],"After":[139],"validating":[140],"approach,":[142],"used":[144],"build":[147],"metabolic-regulatory":[151],"Mycobacterium":[154],"tuberculosis,":[155],"critically":[157],"human":[159],"pathogen.":[160],"This":[161],"study":[162],"incorporated":[163],"1,300":[168],"microarrays,":[169],"2,000":[170],"transcription":[171],"factor-target":[172],"interactions":[173],"regulating":[174],"3,300":[175],"reactions,":[177],"1,905":[179],"KO":[180,190],"phenotypes":[181,191],"E.":[183],"coli":[184],"M.":[186],"tuberculosis.":[187],"identified":[189],"accuracies":[193],"as":[194,196],"high":[195],"95%,":[197],"predicted":[199],"growth":[200],"rates":[201],"quantitatively":[202],"correlation":[204],"0.95.":[206],"Importantly,":[207],"represents":[209],"successful":[211],"top-down":[215],"reconstructed,":[216,224],"statistically":[217],"inferred":[218],"bottom-up":[223],"biochemically":[225],"detailed":[226],"network,":[228],"bridging":[229],"two":[230],"classes":[232],"systems":[234],"biology":[235],"are":[238],"rarely":[239],"combined":[240],"quantitatively.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":34},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":34},{"year":2015,"cited_by_count":38},{"year":2014,"cited_by_count":38},{"year":2013,"cited_by_count":25},{"year":2012,"cited_by_count":27}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2016-06-24T00:00:00"}