{"id":"https://openalex.org/W2414674322","doi":"https://doi.org/10.1109/tcbb.2015.2476876","title":"Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings","display_name":"Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings","publication_year":2015,"publication_date":"2015-09-07","ids":{"openalex":"https://openalex.org/W2414674322","doi":"https://doi.org/10.1109/tcbb.2015.2476876","mag":"2414674322","pmid":"https://pubmed.ncbi.nlm.nih.gov/26357404"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2015.2476876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2015.2476876","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","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/A5082868235","display_name":"Lishuang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lishuang Li","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417118","display_name":"Shanshan Liu","orcid":"https://orcid.org/0000-0001-5872-3816"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Liu","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047839509","display_name":"Meiyue Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiyue Qin","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383455","display_name":"Yiwen Wang","orcid":"https://orcid.org/0000-0003-2069-6685"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Wang","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046871248","display_name":"Degen Huang","orcid":"https://orcid.org/0000-0002-8860-7805"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Degen Huang","raw_affiliation_strings":["College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5082868235"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.86655855,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.76162527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":"4","first_page":"669","last_page":"677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998999834060669,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9954000115394592,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.988099992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8101356029510498},{"id":"https://openalex.org/keywords/biomedical-text-mining","display_name":"Biomedical text mining","score":0.7440505623817444},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6618505120277405},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.63326096534729},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5788745880126953},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5762960910797119},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5744213461875916},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5420438051223755},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5360460877418518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5071816444396973},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.5034419894218445},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4997563362121582},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4547043442726135},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45277833938598633},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4422897398471832},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4395020604133606},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42647743225097656},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3476160764694214},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.17980507016181946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08764013648033142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8101356029510498},{"id":"https://openalex.org/C165141518","wikidata":"https://www.wikidata.org/wiki/Q4915126","display_name":"Biomedical text mining","level":3,"score":0.7440505623817444},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6618505120277405},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.63326096534729},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5788745880126953},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5762960910797119},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5744213461875916},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5420438051223755},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5360460877418518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5071816444396973},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.5034419894218445},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4997563362121582},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4547043442726135},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45277833938598633},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4422897398471832},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4395020604133606},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42647743225097656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3476160764694214},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.17980507016181946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08764013648033142},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2015.2476876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2015.2476876","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:26357404","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26357404","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":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G1267140333","display_name":null,"funder_award_id":"61173100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G873187850","display_name":null,"funder_award_id":"61173101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W154351976","https://openalex.org/W1508186727","https://openalex.org/W1877040722","https://openalex.org/W1898214464","https://openalex.org/W2032566933","https://openalex.org/W2038037963","https://openalex.org/W2075655036","https://openalex.org/W2079597242","https://openalex.org/W2095444228","https://openalex.org/W2098162425","https://openalex.org/W2110408238","https://openalex.org/W2127147316","https://openalex.org/W2131462252","https://openalex.org/W2132288458","https://openalex.org/W2141599568","https://openalex.org/W2141678623","https://openalex.org/W2153579005","https://openalex.org/W2158139315","https://openalex.org/W2158899491","https://openalex.org/W2160218441","https://openalex.org/W2250469303","https://openalex.org/W2251279337","https://openalex.org/W2251814321","https://openalex.org/W2252226131","https://openalex.org/W2952230511","https://openalex.org/W3009009611","https://openalex.org/W4294170691","https://openalex.org/W6606243021","https://openalex.org/W6630232676","https://openalex.org/W6639278583","https://openalex.org/W6639642803","https://openalex.org/W6679224782","https://openalex.org/W6680842446","https://openalex.org/W6680890276","https://openalex.org/W6682691769","https://openalex.org/W6683557909","https://openalex.org/W6683584131","https://openalex.org/W6683738474","https://openalex.org/W6691209883","https://openalex.org/W6691257691"],"related_works":["https://openalex.org/W2968543375","https://openalex.org/W2098784136","https://openalex.org/W2953770453","https://openalex.org/W4288558800","https://openalex.org/W2888625260","https://openalex.org/W3179963059","https://openalex.org/W3094868181","https://openalex.org/W4386566933","https://openalex.org/W4362508319","https://openalex.org/W4391229233"],"abstract_inverted_index":{"Extracting":[0],"biomedical":[1],"event":[2],"from":[3,24,64],"literatures":[4],"has":[5],"attracted":[6],"much":[7],"attention":[8],"recently.":[9],"By":[10],"now,":[11],"most":[12],"of":[13,93,118,142,167],"the":[14,28,37,53,111,115,120,126,135,139,144,153,164,169,180],"state-of-the-art":[15,112],"systems":[16],"have":[17],"been":[18],"based":[19,79],"on":[20,80,125],"pipelines":[21],"which":[22,129,174],"suffer":[23],"cascading":[25],"errors,":[26],"and":[27,45,69,87,105,109,148],"words":[29],"encoded":[30],"by":[31],"one-hot":[32],"are":[33,49,62],"unable":[34],"to":[35,51,84],"represent":[36],"semantic":[38,107],"information.":[39],"Joint":[40],"inference":[41,101],"with":[42,102],"dual":[43,103],"decomposition":[44],"novel":[46],"word":[47],"embeddings":[48,61],"adopted":[50],"address":[52],"two":[54],"problems,":[55],"respectively,":[56],"in":[57],"this":[58],"work.":[59],"Word":[60],"learnt":[63],"large":[65],"scale":[66],"unlabeled":[67],"texts":[68],"integrated":[70],"as":[71],"an":[72],"unsupervised":[73],"feature":[74],"into":[75],"other":[76],"rich":[77],"features":[78],"dependency":[81],"parse":[82],"graphs":[83],"detect":[85],"triggers":[86],"arguments.":[88],"The":[89],"proposed":[90],"system":[91],"consists":[92],"four":[94],"components:":[95],"trigger":[96],"detector,":[97,99],"argument":[98],"jointly":[100],"decomposition,":[104],"rule-based":[106],"post-processing,":[108],"outperforms":[110],"systems.":[113],"On":[114,138,163],"development":[116],"set":[117,141,166],"BioNLP'09,":[119],"F-score":[121,145,170],"is":[122,130,146,175],"59.77":[123],"percent":[124,132,150,173,177],"primary":[127],"task,":[128],"0.96":[131],"higher":[133,151,178],"than":[134,152,179],"best":[136,154,181],"system.":[137],"test":[140,165],"BioNLP'11,":[143],"56.09":[147],"0.89":[149],"published":[155],"result":[156],"that":[157],"do":[158],"not":[159],"adopt":[160],"additional":[161],"techniques.":[162],"BioNLP'13,":[168],"reaches":[171],"53.19":[172],"2.22":[176],"result.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
