{"id":"https://openalex.org/W3189185512","doi":"https://doi.org/10.3390/e23080984","title":"EEG-Based Emotion Recognition by Exploiting Fused Network Entropy Measures of Complex Networks across Subjects","display_name":"EEG-Based Emotion Recognition by Exploiting Fused Network Entropy Measures of Complex Networks across Subjects","publication_year":2021,"publication_date":"2021-07-30","ids":{"openalex":"https://openalex.org/W3189185512","doi":"https://doi.org/10.3390/e23080984","mag":"3189185512","pmid":"https://pubmed.ncbi.nlm.nih.gov/34441124"},"language":"en","primary_location":{"id":"doi:10.3390/e23080984","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23080984","pdf_url":"https://www.mdpi.com/1099-4300/23/8/984/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/23/8/984/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031287411","display_name":"Longxin Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longxin Yao","raw_affiliation_strings":["School of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen 518055, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen 518055, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009651653","display_name":"Mingjiang Wang","orcid":"https://orcid.org/0000-0002-4706-009X"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingjiang Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen 518055, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen 518055, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023564732","display_name":"Yun Lu","orcid":"https://orcid.org/0000-0003-0387-7062"},"institutions":[{"id":"https://openalex.org/I93477617","display_name":"Huizhou University","ror":"https://ror.org/03q3s7962","country_code":"CN","type":"education","lineage":["https://openalex.org/I93477617"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Huizhou University, Huizhou 516007, China"],"raw_orcid":"https://orcid.org/0000-0003-0387-7062","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Huizhou University, Huizhou 516007, China","institution_ids":["https://openalex.org/I93477617"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338802","display_name":"Heng Li","orcid":"https://orcid.org/0000-0002-3187-9041"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen 518055, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen 518055, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445825","display_name":"Xue Zhang","orcid":"https://orcid.org/0000-0001-7159-4609"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen 518055, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen 518055, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009651653","https://openalex.org/A5023564732"],"corresponding_institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213","https://openalex.org/I93477617"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":2.1066,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.87141021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"23","issue":"8","first_page":"984","last_page":"984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8111895322799683},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6866674423217773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6530283689498901},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6353459358215332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6032938361167908},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5785921216011047},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5009222030639648},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49575814604759216},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4783972501754761},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.43787702918052673},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41015326976776123},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21748000383377075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19241425395011902},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1323666274547577},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07588964700698853}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8111895322799683},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6866674423217773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6530283689498901},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6353459358215332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6032938361167908},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5785921216011047},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5009222030639648},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49575814604759216},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4783972501754761},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.43787702918052673},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41015326976776123},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21748000383377075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19241425395011902},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1323666274547577},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07588964700698853},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e23080984","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23080984","pdf_url":"https://www.mdpi.com/1099-4300/23/8/984/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:34441124","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34441124","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:8bf1fa75e86445d9a545543f895fe3f1","is_oa":true,"landing_page_url":"https://doaj.org/article/8bf1fa75e86445d9a545543f895fe3f1","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":"Entropy, Vol 23, Iss 8, p 984 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/23/8/984/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e23080984","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Entropy; Volume 23; Issue 8; Pages: 984","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8391986","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8391986","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":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e23080984","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e23080984","pdf_url":"https://www.mdpi.com/1099-4300/23/8/984/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1828714495","display_name":null,"funder_award_id":"2020B1515120004","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G3256655880","display_name":null,"funder_award_id":"200240","funder_id":"https://openalex.org/F4320322999","funder_display_name":"Shanghai Jiao Tong University"},{"id":"https://openalex.org/G5970643107","display_name":null,"funder_award_id":"JCYJ20180507182241622","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322999","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3189185512.pdf","grobid_xml":"https://content.openalex.org/works/W3189185512.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W1970727126","https://openalex.org/W2060038721","https://openalex.org/W2167822639","https://openalex.org/W2176865601","https://openalex.org/W2464929676","https://openalex.org/W2580887161","https://openalex.org/W2620778051","https://openalex.org/W2623355927","https://openalex.org/W2625929003","https://openalex.org/W2790814155","https://openalex.org/W2800276980","https://openalex.org/W2890995276","https://openalex.org/W2914914274","https://openalex.org/W2924944963","https://openalex.org/W2947342971","https://openalex.org/W2949380279","https://openalex.org/W2962905870","https://openalex.org/W2963984724","https://openalex.org/W2971803538","https://openalex.org/W2980059005","https://openalex.org/W3006673474","https://openalex.org/W3011831557","https://openalex.org/W3014215018","https://openalex.org/W3021351070","https://openalex.org/W3025334394","https://openalex.org/W3027581678","https://openalex.org/W3080607577","https://openalex.org/W3081955377","https://openalex.org/W3096481046","https://openalex.org/W3108087271","https://openalex.org/W3120179453","https://openalex.org/W3120598210","https://openalex.org/W3127624233","https://openalex.org/W3127948325","https://openalex.org/W3135784346","https://openalex.org/W6775607183","https://openalex.org/W6791175619"],"related_works":["https://openalex.org/W4305042383","https://openalex.org/W2546649374","https://openalex.org/W2773396412","https://openalex.org/W1550318927","https://openalex.org/W4380854332","https://openalex.org/W2184859701","https://openalex.org/W4380370144","https://openalex.org/W4386232293","https://openalex.org/W2382178633","https://openalex.org/W2127511193"],"abstract_inverted_index":{"It":[0],"is":[1,25],"well":[2],"known":[3],"that":[4,195,214],"there":[5],"may":[6],"be":[7,205],"significant":[8,143],"individual":[9],"differences":[10],"in":[11,30,55,221],"physiological":[12],"signal":[13],"patterns":[14,54],"for":[15,71,127,161],"emotional":[16,53,201],"responses.":[17],"Emotion":[18],"recognition":[19,37,119,157,172,199],"based":[20],"on":[21],"electroencephalogram":[22],"(EEG)":[23],"signals":[24,65,130,203],"still":[26],"a":[27,196],"challenging":[28],"task":[29],"the":[31,43,104,107,113,128,134,148,155,162,170,209],"context":[32],"of":[33,45,51,89,131,136,150,164,184,200],"developing":[34],"an":[35,56,182],"individual-independent":[36],"method.":[38],"In":[39],"our":[40,215],"paper,":[41],"from":[42,83],"perspective":[44],"spatial":[46],"topology":[47],"and":[48,96,152,167],"temporal":[49],"information":[50,70],"brain":[52],"EEG,":[57],"we":[58,75],"exploit":[59,76],"complex":[60,81],"networks":[61,82],"to":[62,66,79,116,208],"characterize":[63],"EEG":[64,69,84,129,202],"effectively":[67],"extract":[68],"emotion":[72,118],"recognition.":[73],"First,":[74],"visibility":[77],"graphs":[78],"construct":[80],"signals.":[85],"Then,":[86],"two":[87],"kinds":[88],"network":[90],"entropy":[91,95],"measures":[92],"(nodal":[93],"degree":[94],"clustering":[97],"coefficient":[98],"entropy)":[99],"are":[100,110],"calculated.":[101],"By":[102],"applying":[103],"AUC":[105,141],"method,":[106],"effective":[108],"features":[109,135],"input":[111],"into":[112],"SVM":[114],"classifier":[115],"perform":[117],"across":[120],"subjects.":[121],"The":[122],"experiment":[123],"results":[124,192],"showed":[125],"that,":[126],"62":[132],"channels,":[133],"18":[137],"channels":[138],"selected":[139],"by":[140,181],"were":[142],"(p":[144],"<":[145],"0.005).":[146],"For":[147],"classification":[149,163],"positive":[151],"negative":[153],"emotions,":[154,169],"average":[156,171,183],"rate":[158,173],"was":[159,174],"87.26%;":[160],"positive,":[165],"negative,":[166],"neutral":[168],"68.44%.":[175],"Our":[176,191],"method":[177,216],"improves":[178],"mean":[179],"accuracy":[180],"2.28%":[185],"compared":[186],"with":[187],"other":[188],"existing":[189],"methods.":[190],"fully":[193],"demonstrate":[194],"more":[197,219],"accurate":[198],"can":[204,217],"achieved":[206],"relative":[207],"available":[210],"relevant":[211],"studies,":[212],"indicating":[213],"provide":[218],"generalizability":[220],"practical":[222],"use.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}