{"id":"https://openalex.org/W2464971135","doi":"https://doi.org/10.1109/tcbb.2015.2480084","title":"Multiple Kernel Fuzzy SVM-Based Data Fusion for Improving Peptide Identification","display_name":"Multiple Kernel Fuzzy SVM-Based Data Fusion for Improving Peptide Identification","publication_year":2015,"publication_date":"2015-09-18","ids":{"openalex":"https://openalex.org/W2464971135","doi":"https://doi.org/10.1109/tcbb.2015.2480084","mag":"2464971135","pmid":"https://pubmed.ncbi.nlm.nih.gov/26394437"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2015.2480084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2015.2480084","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/A5050445079","display_name":"Ling Jian","orcid":"https://orcid.org/0000-0002-9385-5977"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Jian","raw_affiliation_strings":["College of Science, China University of Petroleum, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-9385-5977","affiliations":[{"raw_affiliation_string":"College of Science, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102767987","display_name":"Zhonghang Xia","orcid":"https://orcid.org/0000-0001-8934-7868"},"institutions":[{"id":"https://openalex.org/I94339441","display_name":"Western Kentucky University","ror":"https://ror.org/0446vnd56","country_code":"US","type":"education","lineage":["https://openalex.org/I94339441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhonghang Xia","raw_affiliation_strings":["Department of Computer Science, Western Kentucky University, Bowling Green, KY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Western Kentucky University, Bowling Green, KY","institution_ids":["https://openalex.org/I94339441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012331541","display_name":"Xinnan Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinnan Niu","raw_affiliation_strings":["Department of Biomedical Informatics, Vanderbilt University, Nashville, TN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Vanderbilt University, Nashville, TN","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061941155","display_name":"Xijun Liang","orcid":"https://orcid.org/0000-0002-6991-7162"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xijun Liang","raw_affiliation_strings":["College of Science, China University of Petroleum, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006011030","display_name":"Parimal Samir","orcid":"https://orcid.org/0000-0001-7655-5713"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parimal Samir","raw_affiliation_strings":["Department of Biochemistry, Vanderbilt University, Nashville, TN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biochemistry, Vanderbilt University, Nashville, TN","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055555857","display_name":"Andrew J. Link","orcid":"https://orcid.org/0000-0003-0885-5786"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew J. Link","raw_affiliation_strings":["Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, TN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, TN","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1506,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.59103968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"13","issue":"4","first_page":"804","last_page":"809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9995999932289124,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9995999932289124,"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/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9900000095367432,"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/computer-science","display_name":"Computer science","score":0.7340642213821411},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.624220609664917},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6198627948760986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5639321804046631},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5538804531097412},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.5139769911766052},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5018973350524902},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43920302391052246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42013972997665405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41720515489578247},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.180985689163208},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08997714519500732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7340642213821411},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.624220609664917},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6198627948760986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5639321804046631},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5538804531097412},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.5139769911766052},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5018973350524902},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43920302391052246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42013972997665405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41720515489578247},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.180985689163208},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08997714519500732},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2015.2480084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2015.2480084","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:26394437","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26394437","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":[{"score":0.6600000262260437,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1547876363","display_name":null,"funder_award_id":"61503412","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3409184758","display_name":null,"funder_award_id":"ZR2014AP0004","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G3735854094","display_name":null,"funder_award_id":"11326203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4499873802","display_name":null,"funder_award_id":"GM064779","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5956139906","display_name":null,"funder_award_id":"RR024975","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7035141864","display_name":null,"funder_award_id":"61403419","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7429308067","display_name":null,"funder_award_id":"272200800007C","funder_id":"https://openalex.org/F4320306085","funder_display_name":"U.S. Department of Health and Human Services"},{"id":"https://openalex.org/G7950937447","display_name":null,"funder_award_id":"ZR2013FQ034","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320306085","display_name":"U.S. Department of Health and Human Services","ror":"https://ror.org/033jnv181"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W1983345315","https://openalex.org/W1985321373","https://openalex.org/W1994807229","https://openalex.org/W1999751815","https://openalex.org/W1999764922","https://openalex.org/W2022434892","https://openalex.org/W2024141877","https://openalex.org/W2027927304","https://openalex.org/W2031823405","https://openalex.org/W2051068666","https://openalex.org/W2053943711","https://openalex.org/W2064605021","https://openalex.org/W2080741498","https://openalex.org/W2083522613","https://openalex.org/W2096057003","https://openalex.org/W2112078820","https://openalex.org/W2132870739","https://openalex.org/W2135078307","https://openalex.org/W2137043026","https://openalex.org/W2140506762","https://openalex.org/W2142079394","https://openalex.org/W2145295623","https://openalex.org/W2146512693","https://openalex.org/W2153635508","https://openalex.org/W2154462399","https://openalex.org/W2161444669","https://openalex.org/W2171188027","https://openalex.org/W2180283910","https://openalex.org/W3144619878","https://openalex.org/W6641446668","https://openalex.org/W6683181193","https://openalex.org/W6685188343"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W2099369243","https://openalex.org/W2041399278","https://openalex.org/W2345184372","https://openalex.org/W2120008580","https://openalex.org/W4223656335","https://openalex.org/W2141705618","https://openalex.org/W2348964713","https://openalex.org/W2049539567","https://openalex.org/W2340694410"],"abstract_inverted_index":{"SEQUEST":[0,38,102],"is":[1,29],"a":[2,22,31,90],"database-searching":[3],"engine,":[4],"which":[5],"calculates":[6],"the":[7,37,62,110,127,155],"correlation":[8],"score":[9,39],"between":[10,44],"observed":[11],"spectrum":[12,15],"and":[13,33,46,55,67,104,114,144],"theoretical":[14],"deduced":[16],"from":[17,101],"protein":[18],"sequences":[19],"stored":[20],"in":[21],"flat":[23],"text":[24],"file,":[25],"even":[26],"though":[27],"it":[28],"not":[30],"relational":[32],"object-oriental":[34],"repository.":[35],"Nevertheless,":[36],"functions":[40],"fail":[41],"to":[42,60,79,125],"discriminate":[43],"true":[45,66],"false":[47,68],"PSMs":[48],"accurately.":[49],"Some":[50],"approaches,":[51],"such":[52],"as":[53],"PeptideProphet":[54,143],"Percolator,":[56,145],"have":[57],"been":[58],"proposed":[59],"address":[61],"task":[63],"of":[64,72],"distinguishing":[65],"PSMs.":[69],"However,":[70],"most":[71],"these":[73],"methods":[74],"employ":[75,119],"time-consuming":[76],"learning":[77,123],"algorithms":[78],"validate":[80],"peptide":[81,95,105,111,129],"assignments":[82],"[1]":[83],".":[84],"In":[85],"this":[86],"paper,":[87],"we":[88,118],"propose":[89],"fast":[91],"algorithm":[92],"for":[93],"validating":[94],"identification":[96,112,130],"by":[97],"incorporating":[98],"heterogeneous":[99],"information":[100],"scores":[103],"digested":[106],"knowledge.":[107],"To":[108],"automate":[109],"process":[113],"incorporate":[115],"additional":[116],"information,":[117],"l2":[120],"multiple":[121],"kernel":[122],"(MKL)":[124],"implement":[126],"current":[128],"task.":[131],"Results":[132],"on":[133],"experimental":[134],"datasets":[135],"indicate":[136],"that":[137],"compared":[138],"with":[139],"state-of-the-art":[140],"methods,":[141],"i.e.,":[142],"our":[146],"data":[147],"fusing":[148],"strategy":[149],"has":[150],"comparable":[151],"performance":[152],"but":[153],"reduces":[154],"running":[156],"time":[157],"significantly.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-07-22T00:00:00"}