{"id":"https://openalex.org/W2043583897","doi":"https://doi.org/10.1021/ci500131x","title":"Benchmark Data Sets for Structure-Based Computational Target Prediction","display_name":"Benchmark Data Sets for Structure-Based Computational Target Prediction","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2043583897","doi":"https://doi.org/10.1021/ci500131x","mag":"2043583897","pmid":"https://pubmed.ncbi.nlm.nih.gov/25084060"},"language":"en","primary_location":{"id":"doi:10.1021/ci500131x","is_oa":false,"landing_page_url":"https://doi.org/10.1021/ci500131x","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","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/A5072061134","display_name":"Karen T. Schomburg","orcid":null},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Karen T. Schomburg","raw_affiliation_strings":["Center\rfor Bioinformatics, University of Hamburg, Bundesstrasse 43, 20146 Hamburg, Germany","Center for Bioinformatics, University of Hamburg , Bundesstrasse 43, 20146 Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center\rfor Bioinformatics, University of Hamburg, Bundesstrasse 43, 20146 Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]},{"raw_affiliation_string":"Center for Bioinformatics, University of Hamburg , Bundesstrasse 43, 20146 Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083205378","display_name":"Matthias Rarey","orcid":"https://orcid.org/0000-0002-9553-6531"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Matthias Rarey","raw_affiliation_strings":["Center\rfor Bioinformatics, University of Hamburg, Bundesstrasse 43, 20146 Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center\rfor Bioinformatics, University of Hamburg, Bundesstrasse 43, 20146 Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083205378"],"corresponding_institution_ids":["https://openalex.org/I159176309"],"apc_list":null,"apc_paid":null,"fwci":3.3044,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92180158,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"54","issue":"8","first_page":"2261","last_page":"2274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10252","display_name":"Microbial Natural Products and Biosynthesis","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10911","display_name":"Chemical Synthesis and Analysis","score":0.9883000254631042,"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":0.7416086196899414},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6868073344230652},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5524206161499023},{"id":"https://openalex.org/keywords/chemical-space","display_name":"Chemical space","score":0.5270949602127075},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5176073312759399},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.509114682674408},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4928884506225586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3679870665073395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3432310223579407},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.2232915461063385},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.1215621829032898}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416086196899414},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6868073344230652},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5524206161499023},{"id":"https://openalex.org/C99726746","wikidata":"https://www.wikidata.org/wiki/Q906396","display_name":"Chemical space","level":3,"score":0.5270949602127075},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5176073312759399},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.509114682674408},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4928884506225586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3679870665073395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3432310223579407},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.2232915461063385},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.1215621829032898},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001665","descriptor_name":"Binding Sites","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004791","descriptor_name":"Enzyme Inhibitors","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D004791","descriptor_name":"Enzyme Inhibitors","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D004791","descriptor_name":"Enzyme Inhibitors","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D006655","descriptor_name":"Histone Deacetylases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D006655","descriptor_name":"Histone Deacetylases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D006655","descriptor_name":"Histone Deacetylases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008024","descriptor_name":"Ligands","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008024","descriptor_name":"Ligands","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008024","descriptor_name":"Ligands","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010727","descriptor_name":"Phosphoric Diester Hydrolases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D010727","descriptor_name":"Phosphoric Diester Hydrolases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D010727","descriptor_name":"Phosphoric Diester Hydrolases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011487","descriptor_name":"Protein Conformation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011487","descriptor_name":"Protein Conformation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011487","descriptor_name":"Protein Conformation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013329","descriptor_name":"Structure-Activity Relationship","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013329","descriptor_name":"Structure-Activity Relationship","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013329","descriptor_name":"Structure-Activity Relationship","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013816","descriptor_name":"Thermodynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013816","descriptor_name":"Thermodynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013816","descriptor_name":"Thermodynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018360","descriptor_name":"Crystallography, X-Ray","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018360","descriptor_name":"Crystallography, X-Ray","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018360","descriptor_name":"Crystallography, X-Ray","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D054852","descriptor_name":"Small Molecule Libraries","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D054852","descriptor_name":"Small Molecule Libraries","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D054852","descriptor_name":"Small Molecule Libraries","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D057057","descriptor_name":"Serine Proteases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D057057","descriptor_name":"Serine Proteases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D057057","descriptor_name":"Serine Proteases","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D062105","descriptor_name":"Molecular Docking Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062105","descriptor_name":"Molecular Docking Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062105","descriptor_name":"Molecular Docking Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1021/ci500131x","is_oa":false,"landing_page_url":"https://doi.org/10.1021/ci500131x","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},{"id":"pmid:25084060","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25084060","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":"Journal of chemical information and modeling","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1508297970","https://openalex.org/W1601495365","https://openalex.org/W1971803774","https://openalex.org/W1972863608","https://openalex.org/W1978611499","https://openalex.org/W1978787457","https://openalex.org/W1980047995","https://openalex.org/W1982885147","https://openalex.org/W1983194490","https://openalex.org/W1988022890","https://openalex.org/W1988037271","https://openalex.org/W1997218313","https://openalex.org/W1999067914","https://openalex.org/W2000061529","https://openalex.org/W2001816314","https://openalex.org/W2008732224","https://openalex.org/W2015080758","https://openalex.org/W2018284921","https://openalex.org/W2033591223","https://openalex.org/W2034215564","https://openalex.org/W2038361288","https://openalex.org/W2041133307","https://openalex.org/W2042110087","https://openalex.org/W2053253524","https://openalex.org/W2053689126","https://openalex.org/W2055147198","https://openalex.org/W2066759906","https://openalex.org/W2068351636","https://openalex.org/W2072323125","https://openalex.org/W2074273453","https://openalex.org/W2078653892","https://openalex.org/W2092053124","https://openalex.org/W2101175089","https://openalex.org/W2103665811","https://openalex.org/W2117041872","https://openalex.org/W2119470100","https://openalex.org/W2119512897","https://openalex.org/W2127760066","https://openalex.org/W2127790232","https://openalex.org/W2130479394","https://openalex.org/W2131272506","https://openalex.org/W2137507165","https://openalex.org/W2141087890","https://openalex.org/W2142365707","https://openalex.org/W2146041471","https://openalex.org/W2158714788","https://openalex.org/W2162436128","https://openalex.org/W2170146596","https://openalex.org/W2170463736"],"related_works":["https://openalex.org/W3114272811","https://openalex.org/W2294946151","https://openalex.org/W4225573578","https://openalex.org/W2046746363","https://openalex.org/W4380519764","https://openalex.org/W2167239434","https://openalex.org/W2250140425","https://openalex.org/W2059640365","https://openalex.org/W2734587838","https://openalex.org/W2091018730"],"abstract_inverted_index":{"Structure-based":[0],"computational":[1],"target":[2,72,83,174,230,261],"prediction":[3,73,175],"methods":[4,55],"identify":[5],"potential":[6],"targets":[7,31],"for":[8,45,66,85,196,251],"a":[9,33,67,76,92,112,172,241],"bioactive":[10],"compound.":[11],"Methods":[12],"based":[13],"on":[14,111],"protein-ligand":[15],"docking":[16],"so":[17],"far":[18],"face":[19],"many":[20],"challenges,":[21],"where":[22],"the":[23,27,131,138,141,144,150,158,178,211,258,269,273],"greatest":[24],"probably":[25],"is":[26,134],"ranking":[28],"of":[29,37,52,54,70,81,97,140,146,161,186,199,244,265,272,277],"true":[30,260],"in":[32,235,262,268],"large":[34,93,179,225],"data":[35,43,61,78,94,117,142,180,192,208,226,275],"set":[36,79,95,181,209,227,276],"protein":[38,99,222,274],"structures.":[39,223,280],"Currently,":[40],"no":[41],"standard":[42],"sets":[44,62,118,193],"evaluation":[46,64,69,107,151,188,198],"exist,":[47],"rendering":[48],"comparison":[49],"and":[50,63,88,91,101,125,149,166,214,246,253],"demonstration":[51],"improvements":[53],"cumbersome.":[56],"Therefore,":[57],"we":[58],"propose":[59],"two":[60],"strategies":[65],"meaningful":[68],"new":[71,201],"methods,":[74],"i.e.,":[75],"small":[77,207],"consisting":[80,96],"three":[82],"classes":[84],"detailed":[86],"proof-of-concept":[87],"selectivity":[89],"studies":[90],"7992":[98],"structures":[100],"72":[102,266],"drug-like":[103,113],"ligands":[104],"allowing":[105],"statistical":[106],"with":[108],"performance":[109],"metrics":[110,154],"chemical":[114],"space.":[115],"Both":[116],"are":[119,168,194],"built":[120],"from":[121],"openly":[122],"available":[123],"resources,":[124],"any":[126],"information":[127],"needed":[128],"to":[129,156,177,182,216,256],"perform":[130],"described":[132],"experiments":[133],"reported.":[135],"We":[136,170],"describe":[137],"composition":[139],"sets,":[143],"setup":[145],"screening":[147,203],"experiments,":[148],"strategy.":[152],"Performance":[153],"capable":[155],"measure":[157],"early":[159],"recognition":[160],"enrichments":[162],"like":[163],"AUC,":[164],"BEDROC,":[165],"NSLR":[167],"proposed.":[169],"apply":[171],"sequence-based":[173],"method":[176,197,204],"analyze":[183],"its":[184],"content":[185],"nontrivial":[187],"cases.":[189],"The":[190,206,224],"proposed":[191],"used":[195],"our":[200],"inverse":[202],"iRAISE.":[205],"reveals":[210],"method's":[212],"capability":[213],"limitations":[215],"selectively":[217],"distinguish":[218],"between":[219],"rather":[220],"similar":[221],"simulates":[228],"real":[229],"identification":[231],"scenarios.":[232],"iRAISE":[233],"achieves":[234],"55%":[236],"excellent":[237],"or":[238],"good":[239],"enrichment":[240],"median":[242],"AUC":[243],"0.67":[245],"RMSDs":[247],"below":[248],"2.0":[249],"\u00c5":[250],"74%":[252],"was":[254],"able":[255],"predict":[257],"first":[259],"59":[263],"out":[264],"cases":[267],"top":[270],"2%":[271],"about":[278],"8000":[279]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}
