{"id":"https://openalex.org/W2121570534","doi":"https://doi.org/10.1093/bib/bbn043","title":"Facts from text: can text mining help to scale-up high-quality manual curation of gene products with ontologies?","display_name":"Facts from text: can text mining help to scale-up high-quality manual curation of gene products with ontologies?","publication_year":2008,"publication_date":"2008-07-11","ids":{"openalex":"https://openalex.org/W2121570534","doi":"https://doi.org/10.1093/bib/bbn043","mag":"2121570534","pmid":"https://pubmed.ncbi.nlm.nih.gov/19060303"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbn043","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbn043","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj","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/A5046047290","display_name":"Rainer Winnenburg","orcid":"https://orcid.org/0000-0002-2770-2809"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"R. Winnenburg","raw_affiliation_strings":["Biotechnology Center, Technische Universit\u00e4t Dresden, Tatzberg 47-49, 01307 Dresden, Germany","Biotechnology Center, Technische Universit\u00e4t Dresden, Tatzberg 47/49, 01307, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biotechnology Center, Technische Universit\u00e4t Dresden, Tatzberg 47-49, 01307 Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]},{"raw_affiliation_string":"Biotechnology Center, Technische Universit\u00e4t Dresden, Tatzberg 47/49, 01307, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083599531","display_name":"Thomas W\u00e4chter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Wachter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078605382","display_name":"Conrad Plake","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Plake","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062561147","display_name":"Andreas Doms","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Doms","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5034999767","display_name":"Mark Schroeder","orcid":"https://orcid.org/0000-0002-1360-9021"},"institutions":[{"id":"https://openalex.org/I4210165059","display_name":"Hochschule f\u00fcr Technik und Wirtschaft Dresden \u2013 University of Applied Sciences","ror":"https://ror.org/05q5pk319","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210165059"]},{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Schroeder","raw_affiliation_strings":["Dresden Univ. of Technol"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dresden Univ. of Technol","institution_ids":["https://openalex.org/I78650965","https://openalex.org/I4210165059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":4.3525,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":{"value":0.95046168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"9","issue":"6","first_page":"466","last_page":"478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9921000003814697,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8052448034286499},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7770400643348694},{"id":"https://openalex.org/keywords/data-curation","display_name":"Data curation","score":0.7382642030715942},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6223651766777039},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6177412271499634},{"id":"https://openalex.org/keywords/biomedical-text-mining","display_name":"Biomedical text mining","score":0.5810797810554504},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5271103978157043},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5116315484046936},{"id":"https://openalex.org/keywords/temporal-annotation","display_name":"Temporal annotation","score":0.5079815983772278},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45476773381233215},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43607038259506226},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.3999745845794678},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37976986169815063},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.37187322974205017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2394639551639557},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1786661446094513},{"id":"https://openalex.org/keywords/language-technology","display_name":"Language technology","score":0.11031115055084229}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8052448034286499},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7770400643348694},{"id":"https://openalex.org/C91632574","wikidata":"https://www.wikidata.org/wiki/Q15088675","display_name":"Data curation","level":2,"score":0.7382642030715942},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6223651766777039},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6177412271499634},{"id":"https://openalex.org/C165141518","wikidata":"https://www.wikidata.org/wiki/Q4915126","display_name":"Biomedical text mining","level":3,"score":0.5810797810554504},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5271103978157043},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5116315484046936},{"id":"https://openalex.org/C7044111","wikidata":"https://www.wikidata.org/wiki/Q15844891","display_name":"Temporal annotation","level":5,"score":0.5079815983772278},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45476773381233215},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43607038259506226},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.3999745845794678},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37976986169815063},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.37187322974205017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2394639551639557},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1786661446094513},{"id":"https://openalex.org/C14919245","wikidata":"https://www.wikidata.org/wiki/Q1976109","display_name":"Language technology","level":4,"score":0.11031115055084229},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C129353971","wikidata":"https://www.wikidata.org/wiki/Q5156949","display_name":"Comprehension approach","level":3,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000043","descriptor_name":"Abstracting and Indexing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000043","descriptor_name":"Abstracting and Indexing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000043","descriptor_name":"Abstracting and Indexing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005796","descriptor_name":"Genes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016206","descriptor_name":"Databases, Bibliographic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016206","descriptor_name":"Databases, Bibliographic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016206","descriptor_name":"Databases, Bibliographic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019359","descriptor_name":"Knowledge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019359","descriptor_name":"Knowledge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019359","descriptor_name":"Knowledge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1093/bib/bbn043","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbn043","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:19060303","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19060303","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":"Briefings in bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W255897694","https://openalex.org/W1482328859","https://openalex.org/W1509392121","https://openalex.org/W1535249431","https://openalex.org/W1537288903","https://openalex.org/W1584778245","https://openalex.org/W1587169500","https://openalex.org/W1601616652","https://openalex.org/W1623698862","https://openalex.org/W1818881584","https://openalex.org/W2002043951","https://openalex.org/W2009433284","https://openalex.org/W2017301218","https://openalex.org/W2027398710","https://openalex.org/W2031868269","https://openalex.org/W2035595423","https://openalex.org/W2037442572","https://openalex.org/W2038721957","https://openalex.org/W2039166384","https://openalex.org/W2039612385","https://openalex.org/W2042500831","https://openalex.org/W2044514479","https://openalex.org/W2048503857","https://openalex.org/W2048623398","https://openalex.org/W2053673723","https://openalex.org/W2062040469","https://openalex.org/W2068737686","https://openalex.org/W2071475771","https://openalex.org/W2072285646","https://openalex.org/W2079672926","https://openalex.org/W2085306687","https://openalex.org/W2086927156","https://openalex.org/W2089988218","https://openalex.org/W2091978351","https://openalex.org/W2094344445","https://openalex.org/W2099100406","https://openalex.org/W2101265630","https://openalex.org/W2101595316","https://openalex.org/W2102789902","https://openalex.org/W2103017472","https://openalex.org/W2104785260","https://openalex.org/W2109615707","https://openalex.org/W2112236650","https://openalex.org/W2113142309","https://openalex.org/W2113258769","https://openalex.org/W2114370860","https://openalex.org/W2114420708","https://openalex.org/W2115294179","https://openalex.org/W2116040937","https://openalex.org/W2120609672","https://openalex.org/W2120736575","https://openalex.org/W2121777858","https://openalex.org/W2123280311","https://openalex.org/W2125680435","https://openalex.org/W2126276057","https://openalex.org/W2129113459","https://openalex.org/W2132180308","https://openalex.org/W2132784310","https://openalex.org/W2133993935","https://openalex.org/W2135905351","https://openalex.org/W2136514583","https://openalex.org/W2138675401","https://openalex.org/W2138707293","https://openalex.org/W2139259976","https://openalex.org/W2141729174","https://openalex.org/W2146991133","https://openalex.org/W2148130205","https://openalex.org/W2148395543","https://openalex.org/W2150252713","https://openalex.org/W2151356080","https://openalex.org/W2152497088","https://openalex.org/W2152785430","https://openalex.org/W2156952734","https://openalex.org/W2159335058","https://openalex.org/W2161173831","https://openalex.org/W2161890636","https://openalex.org/W2164620224","https://openalex.org/W2165371346","https://openalex.org/W2171647789","https://openalex.org/W3082731548"],"related_works":["https://openalex.org/W3185751515","https://openalex.org/W1479703980","https://openalex.org/W4206039273","https://openalex.org/W2749535755","https://openalex.org/W2911489562","https://openalex.org/W2134429551","https://openalex.org/W1553529581","https://openalex.org/W2121570534","https://openalex.org/W1970516776","https://openalex.org/W1972938566"],"abstract_inverted_index":{"The":[0],"biomedical":[1,130],"literature":[2,17,131],"can":[3,102],"be":[4,104,141,167],"seen":[5],"as":[6,84],"a":[7,85],"large":[8],"integrated,":[9],"but":[10,68,91],"unstructured":[11],"data":[12],"repository.":[13],"Extracting":[14],"facts":[15],"from":[16,24],"and":[18,32,50,58,71,109,124,161],"making":[19],"them":[20],"accessible":[21],"is":[22,65,92],"approached":[23],"two":[25],"directions:":[26],"manual":[27,172,182],"curation":[28,64],"efforts":[29],"develop":[30],"ontologies":[31],"vocabularies":[33],"to":[34,46,95,106,122,179],"annotate":[35],"gene":[36],"products":[37],"based":[38],"on":[39],"statements":[40],"in":[41,53,157],"papers.":[42],"Text":[43,82],"mining":[44,83,117,136,152],"aims":[45],"automatically":[47],"identify":[48],"entities":[49],"their":[51],"relationships":[52],"text":[54,116,135,151],"using":[55],"information":[56],"retrieval":[57],"natural":[59,99],"language":[60],"processing":[61],"techniques.":[62],"Manual":[63],"highly":[66],"accurate":[67],"time":[69],"consuming,":[70],"does":[72],"not":[73],"scale":[74],"with":[75],"the":[76,96,114,171],"ever":[77],"increasing":[78],"growth":[79],"of":[80,98,134],"literature.":[81],"high-throughput":[86],"computational":[87],"technique":[88],"scales":[89],"well,":[90],"error-prone":[93],"due":[94],"complexity":[97],"language.":[100],"How":[101],"both":[103],"married":[105],"combine":[107],"scalability":[108],"accuracy?":[110],"Here,":[111],"we":[112],"review":[113],"state-of-the-art":[115],"approaches":[118],"that":[119],"are":[120],"relevant":[121],"annotation":[123,144,159,173],"discuss":[125],"available":[126],"online":[127],"services":[128],"analysing":[129],"by":[132,143],"means":[133],"techniques,":[137],"which":[138],"could":[139,166],"also":[140],"utilised":[142,156],"projects.":[145],"We":[146],"then":[147],"examine":[148],"how":[149,163],"far":[150],"has":[153],"already":[154],"been":[155],"existing":[158],"projects":[160],"conclude":[162],"these":[164],"techniques":[165],"tightly":[168],"integrated":[169],"into":[170],"process":[174],"through":[175],"novel":[176],"authoring":[177],"systems":[178],"scale-up":[180],"high-quality":[181],"curation.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":12}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
