{"id":"https://openalex.org/W4205288985","doi":"https://doi.org/10.1186/s12859-022-04574-5","title":"scAnnotatR: framework to accurately classify cell types in single-cell RNA-sequencing data","display_name":"scAnnotatR: framework to accurately classify cell types in single-cell RNA-sequencing data","publication_year":2022,"publication_date":"2022-01-17","ids":{"openalex":"https://openalex.org/W4205288985","doi":"https://doi.org/10.1186/s12859-022-04574-5","pmid":"https://pubmed.ncbi.nlm.nih.gov/35038984"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-022-04574-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-022-04574-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-022-04574-5","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","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-022-04574-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006269866","display_name":"Vy Nguyen","orcid":"https://orcid.org/0000-0003-3436-3662"},"institutions":[{"id":"https://openalex.org/I76134821","display_name":"Medical University of Vienna","ror":"https://ror.org/05n3x4p02","country_code":"AT","type":"education","lineage":["https://openalex.org/I76134821"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Vy Nguyen","raw_affiliation_strings":["Department of Dermatology, Medical University of Vienna, W\u00e4hringer G\u00fcrtel 18-20, 1090, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Dermatology, Medical University of Vienna, W\u00e4hringer G\u00fcrtel 18-20, 1090, Vienna, Austria","institution_ids":["https://openalex.org/I76134821"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001448895","display_name":"Johannes Griss","orcid":"https://orcid.org/0000-0003-2206-9511"},"institutions":[{"id":"https://openalex.org/I76134821","display_name":"Medical University of Vienna","ror":"https://ror.org/05n3x4p02","country_code":"AT","type":"education","lineage":["https://openalex.org/I76134821"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Johannes Griss","raw_affiliation_strings":["Department of Dermatology, Medical University of Vienna, W\u00e4hringer G\u00fcrtel 18-20, 1090, Vienna, Austria. johannes.griss@meduniwien.ac.at","Department of Dermatology, Medical University of Vienna, W\u00e4hringer G\u00fcrtel 18-20, 1090, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0003-2206-9511","affiliations":[{"raw_affiliation_string":"Department of Dermatology, Medical University of Vienna, W\u00e4hringer G\u00fcrtel 18-20, 1090, Vienna, Austria. johannes.griss@meduniwien.ac.at","institution_ids":["https://openalex.org/I76134821"]},{"raw_affiliation_string":"Department of Dermatology, Medical University of Vienna, W\u00e4hringer G\u00fcrtel 18-20, 1090, Vienna, Austria","institution_ids":["https://openalex.org/I76134821"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001448895"],"corresponding_institution_ids":["https://openalex.org/I76134821"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":1970,"currency":"EUR","value_usd":2124},"fwci":2.0359,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.87264822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"1","first_page":"44","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9980999827384949,"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/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9980999827384949,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T10773","display_name":"Extracellular vesicles in disease","score":0.00019999999494757503,"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/bioconductor","display_name":"Bioconductor","score":0.8924108743667603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7674823999404907},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6237457990646362},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6190764307975769},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5779934525489807},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5591179728507996},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4793718159198761},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4782918095588684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46964284777641296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4301646649837494},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.425290048122406},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.421329528093338},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3449900150299072},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12957248091697693},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07345801591873169}],"concepts":[{"id":"https://openalex.org/C2779694297","wikidata":"https://www.wikidata.org/wiki/Q2888953","display_name":"Bioconductor","level":3,"score":0.8924108743667603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674823999404907},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6237457990646362},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6190764307975769},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5779934525489807},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5591179728507996},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4793718159198761},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4782918095588684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46964284777641296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4301646649837494},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.425290048122406},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.421329528093338},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3449900150299072},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12957248091697693},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07345801591873169},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000073359","descriptor_name":"Exome Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000073359","descriptor_name":"Exome Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000073359","descriptor_name":"Exome Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000073359","descriptor_name":"Exome Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000073359","descriptor_name":"Exome Sequencing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017423","descriptor_name":"Sequence Analysis, RNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059010","descriptor_name":"Single-Cell Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-022-04574-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-022-04574-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-022-04574-5","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":"pmid:35038984","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35038984","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8762856","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8762856","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"},{"id":"pmh:oai:doaj.org/article:5f5e2e91dc7546eb8314bca5ff4da052","is_oa":true,"landing_page_url":"https://doaj.org/article/5f5e2e91dc7546eb8314bca5ff4da052","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 23, Iss 1, Pp 1-13 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-022-04574-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-022-04574-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-022-04574-5","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":[],"awards":[{"id":"https://openalex.org/G2361690477","display_name":"From genomics to signaling networks in triple-wt melanomas","funder_award_id":"P30325","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"},{"id":"https://openalex.org/G6614925863","display_name":"Therapy resistance of melanoma through modulation of the tumor stroma by B cells","funder_award_id":"P 31127","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"},{"id":"https://openalex.org/G750246945","display_name":null,"funder_award_id":"P 30325\u2010B28","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"}],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205288985.pdf","grobid_xml":"https://content.openalex.org/works/W4205288985.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1831050183","https://openalex.org/W2463988862","https://openalex.org/W2523369352","https://openalex.org/W2523419694","https://openalex.org/W2523620612","https://openalex.org/W2526262591","https://openalex.org/W2796170779","https://openalex.org/W2907514116","https://openalex.org/W2942380588","https://openalex.org/W2944525406","https://openalex.org/W2949177718","https://openalex.org/W2951914955","https://openalex.org/W2954871042","https://openalex.org/W2959295202","https://openalex.org/W2964643116","https://openalex.org/W2971398276","https://openalex.org/W2971653850","https://openalex.org/W2973034691","https://openalex.org/W2989807288","https://openalex.org/W2995410603","https://openalex.org/W3004512212","https://openalex.org/W3006566541","https://openalex.org/W3014185549","https://openalex.org/W3016020856","https://openalex.org/W3028505928","https://openalex.org/W3036137852","https://openalex.org/W3087419580","https://openalex.org/W3092982430","https://openalex.org/W3105641254","https://openalex.org/W4243363028"],"related_works":["https://openalex.org/W2135678793","https://openalex.org/W2109288169","https://openalex.org/W4223449272","https://openalex.org/W2978247079","https://openalex.org/W2166887457","https://openalex.org/W2148708580","https://openalex.org/W3037604406","https://openalex.org/W2140163842","https://openalex.org/W2157684052","https://openalex.org/W2982252354"],"abstract_inverted_index":{"BACKGROUND:":[0],"Automatic":[1],"cell":[2,113,138],"type":[3,114],"identification":[4],"is":[5,66,93,142,161,176],"essential":[6],"to":[7,29,46,60,76,109,129,135,151,190],"alleviate":[8],"a":[9,67,73,111],"key":[10],"bottleneck":[11],"in":[12,36,79,183],"scRNA-seq":[13,53,80],"data":[14],"analysis.":[15],"While":[16],"most":[17],"existing":[18,130],"classification":[19,186],"tools":[20,42,57,131,149,182],"show":[21],"good":[22],"sensitivity":[23,125],"and":[24,89,92,126,169],"specificity,":[25],"they":[26],"often":[27],"fail":[28],"adequately":[30],"not-classify":[31,136],"cells":[32,78],"that":[33,71],"are":[34,58],"missing":[35],"the":[37,47,97,143,146,179,191],"used":[38],"reference.":[39],"Additionally,":[40],"many":[41],"do":[43],"not":[44],"scale":[45],"continuously":[48],"increasing":[49],"size":[50],"of":[51,100,145,185],"current":[52],"datasets.":[54,193],"Therefore,":[55],"additional":[56],"needed":[59],"solve":[61],"these":[62],"challenges.":[63],"RESULTS:":[64],"scAnnotatR":[65,104,141,160],"novel":[68],"R":[69],"package":[70],"provides":[72],"complete":[74],"framework":[75],"classify":[77],"datasets":[81,153],"using":[82],"pre-trained":[83],"classifiers.":[84],"It":[85,118,175],"supports":[86],"both":[87],"Seurat":[88],"Bioconductor's":[90],"SingleCellExperiment":[91],"thereby":[94],"compatible":[95],"with":[96],"vast":[98],"majority":[99],"R-based":[101],"analysis":[102],"workflows.":[103],"uses":[105],"hierarchically":[106],"organised":[107],"SVMs":[108],"distinguish":[110],"specific":[112],"versus":[115],"all":[116],"others.":[117],"shows":[119],"comparable":[120],"or":[121],"even":[122],"superior":[123],"accuracy,":[124],"specificity":[127],"compared":[128],"while":[132,188],"being":[133],"able":[134,150],"unknown":[137],"types.":[139],"Moreover,":[140],"only":[144],"best":[147,180],"performing":[148,181],"process":[152],"containing":[154],"more":[155],"than":[156],"600,000":[157],"cells.":[158],"CONCLUSIONS:":[159],"freely":[162],"available":[163],"on":[164],"GitHub":[165],"(":[166],"https://github.com/grisslab/scAnnotatR":[167],")":[168],"through":[170],"Bioconductor":[171],"(from":[172],"version":[173],"3.14).":[174],"consistently":[177],"among":[178],"terms":[184],"accuracy":[187],"scaling":[189],"largest":[192]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}