{"id":"https://openalex.org/W2012672486","doi":"https://doi.org/10.1186/1471-2105-12-44","title":"Gene ontology based transfer learning for protein subcellular localization","display_name":"Gene ontology based transfer learning for protein subcellular localization","publication_year":2011,"publication_date":"2011-02-02","ids":{"openalex":"https://openalex.org/W2012672486","doi":"https://doi.org/10.1186/1471-2105-12-44","mag":"2012672486"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-12-44","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-44","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-44","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-44","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063476392","display_name":"Suyu Mei","orcid":"https://orcid.org/0000-0002-9701-266X"},"institutions":[{"id":"https://openalex.org/I32399674","display_name":"Shenyang Normal University","ror":"https://ror.org/05cdfgm80","country_code":"CN","type":"education","lineage":["https://openalex.org/I32399674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Suyu Mei","raw_affiliation_strings":["Software College, Shenyang Normal University, Shenyang, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software College, Shenyang Normal University, Shenyang, PR China","institution_ids":["https://openalex.org/I32399674"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wang Fei","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Fei","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, PR China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017862559","display_name":"Shuigeng Zhou","orcid":"https://orcid.org/0000-0002-1949-2768"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuigeng Zhou","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, PR China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063476392"],"corresponding_institution_ids":["https://openalex.org/I32399674"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":4.5227,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.95559878,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","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/T12254","display_name":"Machine Learning in Bioinformatics","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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9991000294685364,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9937000274658203,"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/discriminative-model","display_name":"Discriminative model","score":0.7584433555603027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6338915824890137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5437771081924438},{"id":"https://openalex.org/keywords/protein-function-prediction","display_name":"Protein function prediction","score":0.4787699282169342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45454877614974976},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45016440749168396},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4446038603782654},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4351348578929901},{"id":"https://openalex.org/keywords/gene-ontology","display_name":"Gene ontology","score":0.41407376527786255},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33668625354766846},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33183932304382324},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3005390763282776},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2913040518760681},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.16084301471710205},{"id":"https://openalex.org/keywords/protein-function","display_name":"Protein function","score":0.09559622406959534}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7584433555603027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6338915824890137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5437771081924438},{"id":"https://openalex.org/C207060522","wikidata":"https://www.wikidata.org/wiki/Q7251473","display_name":"Protein function prediction","level":4,"score":0.4787699282169342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45454877614974976},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45016440749168396},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4446038603782654},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4351348578929901},{"id":"https://openalex.org/C2987395477","wikidata":"https://www.wikidata.org/wiki/Q135085","display_name":"Gene ontology","level":4,"score":0.41407376527786255},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33668625354766846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33183932304382324},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3005390763282776},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2913040518760681},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.16084301471710205},{"id":"https://openalex.org/C2986374874","wikidata":"https://www.wikidata.org/wiki/Q8054","display_name":"Protein function","level":3,"score":0.09559622406959534},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/1471-2105-12-44","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-44","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-44","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2e4eac36316f4698956e85892511d6cb","is_oa":false,"landing_page_url":"https://doaj.org/article/2e4eac36316f4698956e85892511d6cb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 12, Iss 1, p 44 (2011)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:3039576","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3039576","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-12-44","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-12-44","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-12-44","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2012672486.pdf","grobid_xml":"https://content.openalex.org/works/W2012672486.grobid-xml"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W1958717431","https://openalex.org/W1966991202","https://openalex.org/W1967696966","https://openalex.org/W1976133477","https://openalex.org/W1976150052","https://openalex.org/W1977927254","https://openalex.org/W1980256262","https://openalex.org/W1981091069","https://openalex.org/W1982228765","https://openalex.org/W1982267716","https://openalex.org/W1991929674","https://openalex.org/W1992577925","https://openalex.org/W1992991025","https://openalex.org/W1993711987","https://openalex.org/W1995918845","https://openalex.org/W1997996819","https://openalex.org/W2000389657","https://openalex.org/W2003613304","https://openalex.org/W2009758767","https://openalex.org/W2010671788","https://openalex.org/W2012686113","https://openalex.org/W2017277794","https://openalex.org/W2020194549","https://openalex.org/W2020816856","https://openalex.org/W2021357636","https://openalex.org/W2022366078","https://openalex.org/W2022657456","https://openalex.org/W2028635543","https://openalex.org/W2029580264","https://openalex.org/W2029904979","https://openalex.org/W2031215274","https://openalex.org/W2032764078","https://openalex.org/W2036154117","https://openalex.org/W2036248751","https://openalex.org/W2037838449","https://openalex.org/W2043976158","https://openalex.org/W2046691535","https://openalex.org/W2050974922","https://openalex.org/W2053963319","https://openalex.org/W2053979203","https://openalex.org/W2054068479","https://openalex.org/W2065795346","https://openalex.org/W2069389043","https://openalex.org/W2072120113","https://openalex.org/W2080915318","https://openalex.org/W2085022192","https://openalex.org/W2087548537","https://openalex.org/W2090035608","https://openalex.org/W2095780288","https://openalex.org/W2102424043","https://openalex.org/W2103017472","https://openalex.org/W2106141559","https://openalex.org/W2106503792","https://openalex.org/W2109867978","https://openalex.org/W2111127373","https://openalex.org/W2113077461","https://openalex.org/W2117019496","https://openalex.org/W2117436816","https://openalex.org/W2118101156","https://openalex.org/W2122181892","https://openalex.org/W2122838776","https://openalex.org/W2124331814","https://openalex.org/W2127103767","https://openalex.org/W2135628402","https://openalex.org/W2136930152","https://openalex.org/W2141885858","https://openalex.org/W2142013909","https://openalex.org/W2146620899","https://openalex.org/W2151192972","https://openalex.org/W2151375682","https://openalex.org/W2156168829","https://openalex.org/W2156940638","https://openalex.org/W2161024233","https://openalex.org/W2161444669","https://openalex.org/W2163884975","https://openalex.org/W2165698076","https://openalex.org/W2166699767","https://openalex.org/W2170960297","https://openalex.org/W2586983636","https://openalex.org/W2916193864","https://openalex.org/W4251933787","https://openalex.org/W4252166161"],"related_works":["https://openalex.org/W2082380079","https://openalex.org/W2061838210","https://openalex.org/W2033366093","https://openalex.org/W2039416962","https://openalex.org/W3132344302","https://openalex.org/W2239875923","https://openalex.org/W3104092632","https://openalex.org/W2060079687","https://openalex.org/W2411047100","https://openalex.org/W2143801201"],"abstract_inverted_index":{"Prediction":[0],"of":[1,17,68,80,127,136,140,185,206,214,227,243,477],"protein":[2,45,82,90,123,158,229,281,464,492],"subcellular":[3,124,159,282,493],"localization":[4],"generally":[5,105],"involves":[6],"many":[7],"complex":[8],"factors,":[9],"and":[10,73,173,217,265,294,329,335,339,347,354,361,368,377,390,401,415,422,437,479,485,497,509],"using":[11],"only":[12],"one":[13,277],"or":[14,63,116],"two":[15,215,219,228],"aspects":[16,139,205],"data":[18,40],"information":[19],"may":[20,431],"not":[21,130],"tell":[22],"the":[23,77,108,132,137,164,170,182,186,203,211,225,240,244,249,261,297,300,316,440,462,465,475,504,512,517],"true":[24],"story.":[25],"For":[26,382],"this":[27,144],"reason,":[28],"some":[29],"recent":[30],"predictive":[31,98,489],"models":[32,99,104,302],"are":[33,192,255,272],"deliberately":[34],"designed":[35],"to":[36,52,59,96,169,180,209,223,237,260,434,439,459,461],"integrate":[37],"multiple":[38],"heterogeneous":[39],"sources":[41],"for":[42,122,156,280,491],"exploiting":[43],"multi-aspect":[44],"feature":[46,91],"information.":[47],"Gene":[48,149,452],"ontology,":[49],"hereinafter":[50],"referred":[51],"as":[53,407],"GO,":[54],"uses":[55],"a":[56,88,112,148,176],"controlled":[57],"vocabulary":[58],"depict":[60],"biological":[61,69],"molecules":[62],"gene":[64,84,141,207],"products":[65],"in":[66,100],"terms":[67,110,168,190],"process,":[70],"molecular":[71],"function":[72],"cellular":[74],"component.":[75],"With":[76],"rapid":[78],"expansion":[79],"annotated":[81],"sequences,":[83],"ontology":[85,208],"has":[86],"become":[87],"general":[89],"that":[92,191,248,309,503],"can":[93,129,473],"be":[94,432],"used":[95],"construct":[97],"computational":[101,253],"biology.":[102],"Existing":[103],"either":[106],"concatenated":[107],"GO":[109,167,189,200,212,428,506,513],"into":[111,276],"flat":[113],"binary":[114],"vector":[115],"applied":[117],"majority-vote":[118],"based":[119],"ensemble":[120],"learning":[121,178,449],"localization,":[125],"both":[126],"which":[128,472],"estimate":[131],"individual":[133],"discriminative":[134,241],"abilities":[135,242],"three":[138,199,204,289],"ontology.":[142],"In":[143],"paper,":[145],"we":[146,443],"propose":[147],"Ontology":[150,453],"Based":[151,454],"Transfer":[152,455],"Learning":[153,456],"Model":[154],"(GO-TLM)":[155],"large-scale":[157],"localization.":[160,283,494],"The":[161,269],"model":[162,321,332,357,411],"transfers":[163],"signature-based":[165],"homologous":[166,470,483],"target":[171,441,463],"proteins,":[172,216,471,484],"further":[174],"constructs":[175],"reliable":[177],"system":[179,450],"reduce":[181,474],"adverse":[183],"affect":[184],"potential":[187],"false":[188],"resulted":[193],"from":[194,202],"evolutionary":[195],"divergence.":[196],"We":[197,231,284],"derive":[198,218],"kernels":[201,222,271,514],"measure":[210,224],"similarity":[213,226],"other":[220],"spectrum":[221],"sequences.":[230],"use":[232],"simple":[233],"non-parametric":[234],"cross":[235,305],"validation":[236,306,496],"explicitly":[238,446,510],"weigh":[239],"five":[245,270],"kernels,":[246],"such":[247],"time":[250],"&":[251],"space":[252],"complexities":[254],"greatly":[256],"reduced":[257],"when":[258],"compared":[259,408],"complicated":[262],"semi-definite":[263],"programming":[264],"semi-indefinite":[266],"linear":[267],"programming.":[268],"then":[273],"linearly":[274],"merged":[275],"single":[278],"kernel":[279,448],"evaluate":[285],"GO-TLM":[286,310,386],"performance":[287,490],"against":[288,315,320,331,356,409],"baseline":[290,301,317,410],"models:":[291,318],"MultiLoc,":[292],"MultiLoc-GO":[293,333,358,412],"Euk-mPLoc":[295,322],"on":[296,343,370,392],"benchmark":[298],"datasets":[299],"adopted.":[303],"5-fold":[304],"experiments":[307],"show":[308,502],"achieves":[311,387],"substantial":[312,326],"accuracy":[313,341,364,418],"improvement":[314],"80.38%":[319],"67.40%":[323],"with":[324,337,363,417],"12.98%":[325],"increase;":[327],"96.65%":[328],"96.27%":[330],"89.60%":[334],"89.60%,":[336],"7.05%":[338],"6.67%":[340],"increase":[342,365,419],"dataset":[344,348,371,374,378,393,397,402],"MultiLoc":[345,349],"plant":[346,395,399],"animal,":[350],"respectively;":[351],"97.14%,":[352],"95.90%":[353],"96.85%":[355],"83.70%,":[359],"90.10%":[360],"85.70%,":[362],"13.44%,":[366],"5.8%":[367],"11.15%":[369],"BaCelLoc":[372,375,379,383,394,398,403],"plant,":[373],"fungi":[376],"animal":[380,404],"respectively.":[381,424],"independent":[384,498],"sets,":[385],"81.25%,":[388],"80.45%":[389],"79.46%":[391],"holdout,":[396,405],"holdout":[400],"respectively,":[406],"76%,":[413],"60.00%":[414],"73.00%,":[416],"5.25%,":[420],"20.45%":[421],"6.46%,":[423],"Since":[425],"direct":[426],"homology-based":[427,505],"term":[429,507],"transfer":[430,460,508],"prone":[433],"introducing":[435],"noise":[436],"outliers":[438,478],"protein,":[442],"design":[444],"an":[445],"weighted":[447],"(called":[451],"Model,":[457],"GO-TLM)":[458],"known":[466],"knowledge":[467,481],"about":[468],"related":[469],"risk":[476],"share":[480],"between":[482],"thus":[486],"achieve":[487],"better":[488],"Cross":[495],"test":[499],"experimental":[500],"results":[501],"weighing":[511],"substantially":[515],"improve":[516],"prediction":[518],"performance.":[519]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":8}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2016-06-24T00:00:00"}