{"id":"https://openalex.org/W1601564520","doi":"https://doi.org/10.1155/2015/910423","title":"A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set","display_name":"A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1601564520","doi":"https://doi.org/10.1155/2015/910423","mag":"1601564520","pmid":"https://pubmed.ncbi.nlm.nih.gov/26347797"},"language":"en","primary_location":{"id":"doi:10.1155/2015/910423","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/910423","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/910423.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2015/910423.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076946760","display_name":"Abdul Wahab Muzaffar","orcid":"https://orcid.org/0000-0001-7910-0378"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Abdul Wahab Muzaffar","raw_affiliation_strings":["National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040585772","display_name":"Farooque Azam","orcid":"https://orcid.org/0000-0002-7421-7400"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Farooque Azam","raw_affiliation_strings":["National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050012170","display_name":"Usman Qamar","orcid":"https://orcid.org/0000-0003-2361-2061"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Usman Qamar","raw_affiliation_strings":["National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan"],"raw_orcid":"https://orcid.org/0000-0003-2361-2061","affiliations":[{"raw_affiliation_string":"National University of Sciences and Technology (NUST), H-12, Islamabad 44000, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076946760"],"corresponding_institution_ids":["https://openalex.org/I929597975"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.9621,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.85767033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"2015","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9937999844551086,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9926000237464905,"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/relationship-extraction","display_name":"Relationship extraction","score":0.869337797164917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7966655492782593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6626595854759216},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6258305311203003},{"id":"https://openalex.org/keywords/unified-medical-language-system","display_name":"Unified Medical Language System","score":0.5869425535202026},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5507012605667114},{"id":"https://openalex.org/keywords/biomedical-text-mining","display_name":"Biomedical text mining","score":0.5441291332244873},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.543686032295227},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5415617823600769},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5346530675888062},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49335017800331116},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4644823968410492},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45021137595176697},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.44610750675201416},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.444964200258255},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4110639989376068},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36236414313316345},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.2233051061630249}],"concepts":[{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.869337797164917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7966655492782593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6626595854759216},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6258305311203003},{"id":"https://openalex.org/C69505689","wikidata":"https://www.wikidata.org/wiki/Q455338","display_name":"Unified Medical Language System","level":2,"score":0.5869425535202026},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5507012605667114},{"id":"https://openalex.org/C165141518","wikidata":"https://www.wikidata.org/wiki/Q4915126","display_name":"Biomedical text mining","level":3,"score":0.5441291332244873},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.543686032295227},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5415617823600769},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5346530675888062},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49335017800331116},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4644823968410492},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45021137595176697},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.44610750675201416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.444964200258255},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4110639989376068},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36236414313316345},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.2233051061630249},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"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":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016239","descriptor_name":"MEDLINE","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016239","descriptor_name":"MEDLINE","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016239","descriptor_name":"MEDLINE","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017432","descriptor_name":"Unified Medical Language System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","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":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1155/2015/910423","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/910423","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/910423.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:26347797","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26347797","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":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:europepmc.org:3539052","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4546954","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2015/910423","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/910423","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/910423.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8199999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324282","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1601564520.pdf","grobid_xml":"https://content.openalex.org/works/W1601564520.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W195002","https://openalex.org/W4531093","https://openalex.org/W1493270114","https://openalex.org/W1518020032","https://openalex.org/W1915408880","https://openalex.org/W1966238518","https://openalex.org/W1970989375","https://openalex.org/W1972938566","https://openalex.org/W1986704581","https://openalex.org/W1994306321","https://openalex.org/W1996787131","https://openalex.org/W2006566482","https://openalex.org/W2040298842","https://openalex.org/W2052547205","https://openalex.org/W2077997913","https://openalex.org/W2083412062","https://openalex.org/W2093350258","https://openalex.org/W2099369363","https://openalex.org/W2103397879","https://openalex.org/W2109070394","https://openalex.org/W2109943925","https://openalex.org/W2110279753","https://openalex.org/W2114080886","https://openalex.org/W2120634999","https://openalex.org/W2123036291","https://openalex.org/W2128165179","https://openalex.org/W2129769245","https://openalex.org/W2140407633","https://openalex.org/W2143997177","https://openalex.org/W2148282068","https://openalex.org/W2149684865","https://openalex.org/W2153635508","https://openalex.org/W2166111585","https://openalex.org/W2166706824","https://openalex.org/W2172000360","https://openalex.org/W2251450145","https://openalex.org/W2395668008"],"related_works":["https://openalex.org/W3092040890","https://openalex.org/W3089567888","https://openalex.org/W97146189","https://openalex.org/W2064314529","https://openalex.org/W842810586","https://openalex.org/W4319940250","https://openalex.org/W2352298027","https://openalex.org/W2092919065","https://openalex.org/W3138801416","https://openalex.org/W4379379356"],"abstract_inverted_index":{"The":[0,120],"information":[1,13,48,62],"extraction":[2,14,27,49,55,63,84,196],"from":[3,178],"unstructured":[4],"text":[5,52,175],"segments":[6],"is":[7,21,39,56,126],"a":[8,40,57,109,145],"complex":[9],"task.":[10],"Although":[11],"manual":[12],"often":[15],"produces":[16],"the":[17,31,70,93,96,129,154,172,198],"best":[18],"results,":[19],"it":[20,182],"harder":[22],"to":[23,100,162],"manage":[24],"biomedical":[25,51,61,82,118,174],"data":[26,35],"manually":[28],"because":[29],"of":[30,76,115,123],"exponential":[32],"increase":[33],"in":[34,50,69,128],"size.":[36],"Thus,":[37],"there":[38],"need":[41],"for":[42,47,113,194],"automatic":[43],"tools":[44],"and":[45,88,144,151],"techniques":[46],"mining.":[53],"Relation":[54],"significant":[58],"area":[59],"under":[60],"that":[64,186],"has":[65,78,98,168],"gained":[66],"much":[67],"importance":[68],"last":[71,94],"two":[72,155],"decades.":[73],"A":[74],"lot":[75],"work":[77],"been":[79,169],"done":[80,127],"on":[81,86,171,197],"relation":[83,195],"focusing":[85],"rule-based":[87],"machine":[89,157],"learning":[90,158],"techniques.":[91],"In":[92],"decade,":[95],"focus":[97],"changed":[99],"hybrid":[101,110],"approaches":[102,192],"showing":[103],"better":[104],"results.":[105],"This":[106],"research":[107,125],"presents":[108],"feature":[111,131],"set":[112,132],"classification":[114],"relations":[116],"between":[117],"entities.":[119],"main":[121],"contribution":[122],"this":[124],"semantic":[130],"where":[133],"verb":[134],"phrases":[135],"are":[136,160],"ranked":[137],"using":[138],"Unified":[139],"Medical":[140],"Language":[141],"System":[142],"(UMLS)":[143],"ranking":[146],"algorithm.":[147],"Support":[148],"Vector":[149],"Machine":[150],"Na\u00efve":[152],"Bayes,":[153],"effective":[156],"techniques,":[159],"used":[161,193],"classify":[163],"these":[164],"relations.":[165],"Our":[166],"approach":[167],"validated":[170],"standard":[173],"corpus":[176],"obtained":[177],"MEDLINE":[179],"2001.":[180],"Conclusively,":[181],"can":[183],"be":[184],"articulated":[185],"our":[187],"framework":[188],"outperforms":[189],"all":[190],"state-of-the-art":[191],"same":[199],"corpus.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
