{"id":"https://openalex.org/W4387949318","doi":"https://doi.org/10.1021/acs.jcim.3c01371","title":"Deep Learning with Geometry-Enhanced Molecular Representation for Augmentation of Large-Scale Docking-Based Virtual Screening","display_name":"Deep Learning with Geometry-Enhanced Molecular Representation for Augmentation of Large-Scale Docking-Based Virtual Screening","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387949318","doi":"https://doi.org/10.1021/acs.jcim.3c01371","pmid":"https://pubmed.ncbi.nlm.nih.gov/37882338"},"language":"en","primary_location":{"id":"doi:10.1021/acs.jcim.3c01371","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.3c01371","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100345883","display_name":"Lan Yu","orcid":"https://orcid.org/0000-0003-0321-8454"},"institutions":[{"id":"https://openalex.org/I161716053","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718","country_code":"CN","type":"education","lineage":["https://openalex.org/I161716053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Yu","raw_affiliation_strings":["School of Science, China Pharmaceutical University, Nanjing 210009, China"],"affiliations":[{"raw_affiliation_string":"School of Science, China Pharmaceutical University, Nanjing 210009, China","institution_ids":["https://openalex.org/I161716053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082303358","display_name":"Xiao He","orcid":"https://orcid.org/0000-0002-4199-8175"},"institutions":[{"id":"https://openalex.org/I258800397","display_name":"New York University Shanghai","ror":"https://ror.org/02vpsdb40","country_code":"CN","type":"education","lineage":["https://openalex.org/I258800397","https://openalex.org/I57206974"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao He","raw_affiliation_strings":["New York University\u2212East China Normal University Center for Computational Chemistry, New York University Shanghai, Shanghai 200062, China","Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, Shanghai Frontiers Science Center of Molecule Intelligent Syntheses, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062, China"],"affiliations":[{"raw_affiliation_string":"New York University\u2212East China Normal University Center for Computational Chemistry, New York University Shanghai, Shanghai 200062, China","institution_ids":["https://openalex.org/I258800397","https://openalex.org/I66867065"]},{"raw_affiliation_string":"Shanghai Engineering Research Center of Molecular Therapeutics and New Drug Development, Shanghai Frontiers Science Center of Molecule Intelligent Syntheses, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072385246","display_name":"Xiaomin Fang","orcid":"https://orcid.org/0000-0002-7563-5268"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomin Fang","raw_affiliation_strings":["Baidu International Technology (Shenzhen) Co., Ltd., Shenzhen 518063, China"],"affiliations":[{"raw_affiliation_string":"Baidu International Technology (Shenzhen) Co., Ltd., Shenzhen 518063, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086931226","display_name":"Lihang Liu","orcid":"https://orcid.org/0009-0003-5815-1047"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lihang Liu","raw_affiliation_strings":["Baidu International Technology (Shenzhen) Co., Ltd., Shenzhen 518063, China"],"affiliations":[{"raw_affiliation_string":"Baidu International Technology (Shenzhen) Co., Ltd., Shenzhen 518063, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100424762","display_name":"Jinfeng Liu","orcid":"https://orcid.org/0000-0002-0614-5097"},"institutions":[{"id":"https://openalex.org/I161716053","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718","country_code":"CN","type":"education","lineage":["https://openalex.org/I161716053"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinfeng Liu","raw_affiliation_strings":["School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 210009, China","School of Science, China Pharmaceutical University, Nanjing 210009, China"],"affiliations":[{"raw_affiliation_string":"School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 210009, China","institution_ids":["https://openalex.org/I161716053"]},{"raw_affiliation_string":"School of Science, China Pharmaceutical University, Nanjing 210009, China","institution_ids":["https://openalex.org/I161716053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082303358","https://openalex.org/A5086931226","https://openalex.org/A5100424762"],"corresponding_institution_ids":["https://openalex.org/I161716053","https://openalex.org/I258800397","https://openalex.org/I66867065","https://openalex.org/I98301712"],"apc_list":null,"apc_paid":null,"fwci":3.6614,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94356396,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"63","issue":"21","first_page":"6501","last_page":"6514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9775000214576721,"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/virtual-screening","display_name":"Virtual screening","score":0.8772014379501343},{"id":"https://openalex.org/keywords/docking","display_name":"Docking (animal)","score":0.7315654754638672},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6992136836051941},{"id":"https://openalex.org/keywords/chemical-space","display_name":"Chemical space","score":0.6171192526817322},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.5292826294898987},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5125412940979004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.453460156917572},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.445894718170166},{"id":"https://openalex.org/keywords/chemical-database","display_name":"Chemical database","score":0.4388103187084198},{"id":"https://openalex.org/keywords/dock","display_name":"DOCK","score":0.43460798263549805},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.2273423671722412},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.18630647659301758},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13569536805152893},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1306782066822052},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09268993139266968}],"concepts":[{"id":"https://openalex.org/C103697762","wikidata":"https://www.wikidata.org/wiki/Q4112105","display_name":"Virtual screening","level":3,"score":0.8772014379501343},{"id":"https://openalex.org/C41685203","wikidata":"https://www.wikidata.org/wiki/Q1974042","display_name":"Docking (animal)","level":2,"score":0.7315654754638672},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992136836051941},{"id":"https://openalex.org/C99726746","wikidata":"https://www.wikidata.org/wiki/Q906396","display_name":"Chemical space","level":3,"score":0.6171192526817322},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.5292826294898987},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5125412940979004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.453460156917572},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.445894718170166},{"id":"https://openalex.org/C203394866","wikidata":"https://www.wikidata.org/wiki/Q2881060","display_name":"Chemical database","level":2,"score":0.4388103187084198},{"id":"https://openalex.org/C93073132","wikidata":"https://www.wikidata.org/wiki/Q24726581","display_name":"DOCK","level":2,"score":0.43460798263549805},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2273423671722412},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.18630647659301758},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13569536805152893},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1306782066822052},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09268993139266968},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062105","descriptor_name":"Molecular Docking Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062105","descriptor_name":"Molecular Docking Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062105","descriptor_name":"Molecular Docking Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1021/acs.jcim.3c01371","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.3c01371","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},{"id":"pmid:37882338","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37882338","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of chemical information and modeling","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1843174013","display_name":null,"funder_award_id":"22273023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3279755915","display_name":null,"funder_award_id":"23ZR1418200","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G6888022696","display_name":null,"funder_award_id":"2019YFA0905200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G771806948","display_name":null,"funder_award_id":"2019YFA090402","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W157339914","https://openalex.org/W1854810044","https://openalex.org/W1971952979","https://openalex.org/W1988037271","https://openalex.org/W1992156271","https://openalex.org/W2017254234","https://openalex.org/W2048953309","https://openalex.org/W2055955780","https://openalex.org/W2070540904","https://openalex.org/W2114704115","https://openalex.org/W2147421370","https://openalex.org/W2153861051","https://openalex.org/W2157177751","https://openalex.org/W2295598076","https://openalex.org/W2344408149","https://openalex.org/W2512660405","https://openalex.org/W2526925775","https://openalex.org/W2578240541","https://openalex.org/W2583907533","https://openalex.org/W2748954813","https://openalex.org/W2782037384","https://openalex.org/W2784006847","https://openalex.org/W2806547269","https://openalex.org/W2883583109","https://openalex.org/W2887101858","https://openalex.org/W2894573731","https://openalex.org/W2901476322","https://openalex.org/W2912171584","https://openalex.org/W2918335507","https://openalex.org/W2921330592","https://openalex.org/W2937307539","https://openalex.org/W2953752975","https://openalex.org/W2959938226","https://openalex.org/W2974531988","https://openalex.org/W3010016408","https://openalex.org/W3027975282","https://openalex.org/W3038823641","https://openalex.org/W3046195400","https://openalex.org/W3081231003","https://openalex.org/W3086524105","https://openalex.org/W3092720182","https://openalex.org/W3093597902","https://openalex.org/W3094640617","https://openalex.org/W3098189759","https://openalex.org/W3100545487","https://openalex.org/W3104255923","https://openalex.org/W3110901318","https://openalex.org/W3113182646","https://openalex.org/W3120715532","https://openalex.org/W3129168016","https://openalex.org/W3135642867","https://openalex.org/W3135935512","https://openalex.org/W3160745260","https://openalex.org/W3161000998","https://openalex.org/W3162155458","https://openalex.org/W3164803610","https://openalex.org/W3179111421","https://openalex.org/W3194726356","https://openalex.org/W3197398091","https://openalex.org/W3201539868","https://openalex.org/W3204651332","https://openalex.org/W4200233821","https://openalex.org/W4205099742","https://openalex.org/W4210617107","https://openalex.org/W4213077304","https://openalex.org/W4214688773","https://openalex.org/W4214868967","https://openalex.org/W4281572042","https://openalex.org/W4285092402","https://openalex.org/W4289518623","https://openalex.org/W4292860470","https://openalex.org/W4292939763","https://openalex.org/W4296184108","https://openalex.org/W4296794490","https://openalex.org/W4307722378","https://openalex.org/W4312052506","https://openalex.org/W4313259716","https://openalex.org/W4367049415"],"related_works":["https://openalex.org/W4282913408","https://openalex.org/W2100436540","https://openalex.org/W2300502530","https://openalex.org/W3201417569","https://openalex.org/W3033824302","https://openalex.org/W2070163817","https://openalex.org/W2091429460","https://openalex.org/W2102475066","https://openalex.org/W2009937564","https://openalex.org/W1973079533"],"abstract_inverted_index":{"Structure-based":[0],"virtual":[1,22,57,146],"screening":[2,23,58,147],"has":[3],"been":[4],"a":[5,94,111,121,125,228],"crucial":[6],"tool":[7],"in":[8,168,185,196,227],"drug":[9],"discovery":[10],"for":[11,59,88,137,166,183,202,220],"decades.":[12],"However,":[13],"as":[14,73],"the":[15,19,39,62,102,107,134,150,163,169,180,186,206,211,215],"chemical":[16,64],"space":[17],"expands,":[18],"existing":[20],"structure-based":[21,56],"techniques":[24,53],"based":[25],"on":[26,117],"molecular":[27,104],"docking":[28,109,118,135,200,203,213],"and":[29,114,152,175],"scoring":[30],"struggle":[31],"to":[32,38,50,54,83,110,132,145,209],"handle":[33],"billion-entry":[34,225],"ultralarge":[35],"libraries":[36,226],"due":[37],"high":[40],"computational":[41],"cost.":[42],"To":[43],"address":[44],"this":[45],"challenge,":[46],"people":[47],"have":[48],"resorted":[49],"machine":[51],"learning":[52,97,130],"enhance":[55],"efficiently":[60],"exploring":[61],"vast":[63],"space.":[65],"In":[66],"those":[67],"cases,":[68],"compounds":[69,108,208,223],"are":[70],"usually":[71],"treated":[72],"sequential":[74],"strings":[75],"or":[76],"two-dimensional":[77],"topology":[78],"graphs,":[79],"limiting":[80],"their":[81],"ability":[82],"incorporate":[84],"three-dimensional":[85],"structural":[86],"information":[87],"downstream":[89],"tasks.":[90],"We":[91],"herein":[92],"propose":[93],"novel":[95],"deep":[96],"protocol,":[98],"GEM-Screen,":[99],"which":[100],"utilizes":[101],"geometry-enhanced":[103],"representation":[105],"of":[106,120,124,162,172,179,190,204,214],"specific":[112],"target":[113],"is":[115,143],"trained":[116],"scores":[119],"small":[122],"fraction":[123],"library":[126],"through":[127],"an":[128],"active":[129],"strategy":[131],"approximate":[133],"outcome":[136],"yet":[138,230],"nontraining":[139],"entries.":[140],"This":[141],"protocol":[142],"applied":[144],"campaigns":[148],"against":[149],"AmpC":[151,167],"D4":[153,184],"targets,":[154],"demonstrating":[155],"that":[156],"GEM-Screen":[157,192],"enriches":[158],"more":[159,176],"than":[160,177],"90%":[161],"hit":[164,181],"scaffolds":[165,182],"top":[170],"4%":[171],"model":[173],"predictions":[174],"80%":[178],"same":[187],"top-ranking":[188],"size":[189],"library.":[191],"can":[193],"be":[194],"used":[195],"conjunction":[197],"with":[198],"traditional":[199],"programs":[201],"only":[205],"top-ranked":[207],"avoid":[210],"exhaustive":[212],"whole":[216],"library,":[217],"thus":[218],"allowing":[219],"discovering":[221],"top-scoring":[222],"from":[224],"rapid":[229],"accurate":[231],"fashion.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}