{"id":"https://openalex.org/W4293222197","doi":"https://doi.org/10.3390/s22176360","title":"A Simulation Study to Assess the Factors of Influence on Mean and Median Frequency of sEMG Signals during Muscle Fatigue","display_name":"A Simulation Study to Assess the Factors of Influence on Mean and Median Frequency of sEMG Signals during Muscle Fatigue","publication_year":2022,"publication_date":"2022-08-24","ids":{"openalex":"https://openalex.org/W4293222197","doi":"https://doi.org/10.3390/s22176360","pmid":"https://pubmed.ncbi.nlm.nih.gov/36080818"},"language":"en","primary_location":{"id":"doi:10.3390/s22176360","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22176360","pdf_url":"https://www.mdpi.com/1424-8220/22/17/6360/pdf?version=1661335084","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","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/1424-8220/22/17/6360/pdf?version=1661335084","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026270413","display_name":"Giovanni Corvini","orcid":"https://orcid.org/0000-0001-9057-577X"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giovanni Corvini","raw_affiliation_strings":["Department of Industrial, Electronics and Mechanical Engineering (DIIEM), Roma Tre University, 00146 Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9057-577X","affiliations":[{"raw_affiliation_string":"Department of Industrial, Electronics and Mechanical Engineering (DIIEM), Roma Tre University, 00146 Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041313475","display_name":"Silvia Conforto","orcid":"https://orcid.org/0000-0001-7323-5220"},"institutions":[{"id":"https://openalex.org/I119003972","display_name":"Roma Tre University","ror":"https://ror.org/05vf0dg29","country_code":"IT","type":"education","lineage":["https://openalex.org/I119003972"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Silvia Conforto","raw_affiliation_strings":["Department of Industrial, Electronics and Mechanical Engineering (DIIEM), Roma Tre University, 00146 Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7323-5220","affiliations":[{"raw_affiliation_string":"Department of Industrial, Electronics and Mechanical Engineering (DIIEM), Roma Tre University, 00146 Rome, Italy","institution_ids":["https://openalex.org/I119003972"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026270413"],"corresponding_institution_ids":["https://openalex.org/I119003972"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.1433,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.74287568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"22","issue":"17","first_page":"6360","last_page":"6360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/autoregressive-model","display_name":"Autoregressive model","score":0.7221502065658569},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.7114702463150024},{"id":"https://openalex.org/keywords/muscle-fatigue","display_name":"Muscle fatigue","score":0.6475772857666016},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.5841147899627686},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5744929313659668},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.516584038734436},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4623723030090332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4134013056755066},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41223597526550293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4006204307079315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20204439759254456},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17240452766418457},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.1342168152332306},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11379241943359375},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.086396723985672}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7221502065658569},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.7114702463150024},{"id":"https://openalex.org/C2776874296","wikidata":"https://www.wikidata.org/wiki/Q6940317","display_name":"Muscle fatigue","level":3,"score":0.6475772857666016},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.5841147899627686},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5744929313659668},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.516584038734436},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4623723030090332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4134013056755066},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41223597526550293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4006204307079315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20204439759254456},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17240452766418457},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.1342168152332306},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11379241943359375},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.086396723985672},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009119","descriptor_name":"Muscle Contraction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009119","descriptor_name":"Muscle Contraction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009119","descriptor_name":"Muscle Contraction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D018482","descriptor_name":"Muscle, Skeletal","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D018482","descriptor_name":"Muscle, Skeletal","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D018482","descriptor_name":"Muscle, Skeletal","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D018763","descriptor_name":"Muscle Fatigue","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D018763","descriptor_name":"Muscle Fatigue","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D018763","descriptor_name":"Muscle Fatigue","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s22176360","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22176360","pdf_url":"https://www.mdpi.com/1424-8220/22/17/6360/pdf?version=1661335084","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:36080818","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36080818","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:iris.uniroma3.it:11590/437296","is_oa":true,"landing_page_url":"https://hdl.handle.net/11590/437296","pdf_url":"https://iris.uniroma3.it/bitstream/11590/437296/2/A-Simulation-Study-to-Assess-the-Factors-of-Influence-on-Mean-and-Median-Frequency-of-sEMG-Signals-during-Muscle-FatigueSensors.pdf","source":{"id":"https://openalex.org/S4377196120","display_name":"Iris (Roma Tre University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119003972","host_organization_name":"Roma Tre University","host_organization_lineage":["https://openalex.org/I119003972"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:a774a9b2872748d8be939ca730a993a3","is_oa":true,"landing_page_url":"https://doaj.org/article/a774a9b2872748d8be939ca730a993a3","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":"Sensors, Vol 22, Iss 17, p 6360 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/17/6360/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22176360","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":"Sensors; Volume 22; Issue 17; Pages: 6360","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9459987","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9459987","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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22176360","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22176360","pdf_url":"https://www.mdpi.com/1424-8220/22/17/6360/pdf?version=1661335084","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1740604304","display_name":null,"funder_award_id":"BRIC 2019-ID48","funder_id":"https://openalex.org/F4320324633","funder_display_name":"Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro"},{"id":"https://openalex.org/G6622642189","display_name":null,"funder_award_id":"BRIC 2019","funder_id":"https://openalex.org/F4320324633","funder_display_name":"Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro"}],"funders":[{"id":"https://openalex.org/F4320324633","display_name":"Istituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro","ror":"https://ror.org/01t264m74"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293222197.pdf","grobid_xml":"https://content.openalex.org/works/W4293222197.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W2011290496","https://openalex.org/W2016284881","https://openalex.org/W2020872171","https://openalex.org/W2026589572","https://openalex.org/W2039007561","https://openalex.org/W2056759886","https://openalex.org/W2106822551","https://openalex.org/W2112200334","https://openalex.org/W2113816114","https://openalex.org/W2124346728","https://openalex.org/W2132334057","https://openalex.org/W2136908787","https://openalex.org/W2158757324","https://openalex.org/W2161594309","https://openalex.org/W2162443378","https://openalex.org/W2496445926","https://openalex.org/W2607038609","https://openalex.org/W2896214742","https://openalex.org/W2916609993","https://openalex.org/W2980412925","https://openalex.org/W2981877040","https://openalex.org/W3082472058","https://openalex.org/W3096268352","https://openalex.org/W3099685148","https://openalex.org/W3130388493","https://openalex.org/W3203145619","https://openalex.org/W4200561164","https://openalex.org/W4281486427","https://openalex.org/W6629474112","https://openalex.org/W6683857342"],"related_works":["https://openalex.org/W1976222415","https://openalex.org/W2534579942","https://openalex.org/W2170492757","https://openalex.org/W2470063585","https://openalex.org/W1892004929","https://openalex.org/W2553149056","https://openalex.org/W2013199111","https://openalex.org/W1790732178","https://openalex.org/W2363387134","https://openalex.org/W2486143720"],"abstract_inverted_index":{"Mean":[0],"and":[1,9,34,94,118,139,197,205],"Median":[2],"frequency":[3,132,166],"are":[4,15],"typically":[5],"used":[6,213],"for":[7,141],"detecting":[8],"monitoring":[10],"muscle":[11,78,105,184],"fatigue.":[12,79,106,185],"These":[13],"parameters":[14],"extracted":[16],"from":[17],"power":[18,61],"spectral":[19],"density":[20,62],"whose":[21],"estimate":[22,154],"can":[23,43],"be":[24,178,212],"obtained":[25],"by":[26,32],"several":[27],"techniques,":[28],"each":[29],"one":[30],"characterized":[31],"advantages":[33],"disadvantages.":[35],"Previous":[36],"works":[37],"studied":[38],"how":[39],"the":[40,45,51,60,72,84,92,95,108,112,115,120,130,136,150,153,157,160,164,170,181,189,194,199,209],"implementation":[41],"settings":[42],"influence":[44],"performance":[46],"of":[47,86,110,122,183],"these":[48],"techniques;":[49],"nevertheless,":[50],"estimation":[52],"results":[53],"have":[54],"never":[55],"been":[56,125],"fully":[57],"evaluated":[58],"when":[59,214],"spectrum":[63,76],"is":[64,82,167],"in":[65,162,169,180],"a":[66],"low-frequency":[67],"zone,":[68],"as":[69],"happens":[70],"to":[71,114,119,143],"surface":[73],"electromyography":[74],"(sEMG)":[75],"during":[77],"The":[80],"latter":[81,210],"therefore":[83],"objective":[85],"this":[87,175],"study":[88],"that":[89,129,140,188,198],"has":[90,124],"compared":[91],"Welch":[93,195],"autoregressive":[96,190],"parametric":[97],"approaches":[98,113],"on":[99,135],"synthetic":[100],"sEMG":[101],"signals":[102],"simulating":[103],"severe":[104,216],"Moreover,":[107],"sensitivity":[109],"both":[111],"observation":[116],"duration":[117],"level":[121],"noise":[123,137],"analyzed.":[126],"Results":[127,186],"showed":[128],"mean":[131],"greatly":[133],"depends":[134],"level,":[138],"Signal":[142],"Noise":[144],"Ratio":[145],"(SNR)":[146],"less":[147],"than":[148],"10dB":[149],"errors":[151],"make":[152],"unacceptable.":[155],"On":[156],"other":[158],"hand,":[159],"error":[161],"calculating":[163],"median":[165],"always":[168,192],"range":[171],"2-10":[172],"Hz,":[173],"so":[174],"parameter":[176],"should":[177,211],"preferred":[179],"tracking":[182],"show":[187],"model":[191],"outperforms":[193],"technique,":[196],"3rd":[200],"order":[201],"continuously":[202],"produced":[203],"accurate":[204],"precise":[206],"estimates;":[207],"consequently,":[208],"analyzing":[215],"fatiguing":[217],"contraction.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}