{"doi":"10.1093/geronj/30.4.422","title":"Assessment of Biological Age by Multiple Regression Analysis","abstract":null,"journal":"Journal of Gerontology","year":1975,"id":591476,"datarank":9.302793522146414,"base_score":4.787491742782046,"endowment":4.787491742782046,"self_citation_contribution":0.7181237614173069,"citation_network_contribution":8.584669760729108,"self_endowment_contribution":0.7181237614173069,"citer_contribution":8.584669760729108,"corpus_percentile":null,"corpus_rank":null,"citation_count":119,"citer_count":114,"citers_with_citation_signal":100,"citers_with_endowment":100,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":112428,"name":"M. Inoue","orcid":null,"position":1,"is_corresponding":false},{"id":1513341,"name":"F. Kajiya","orcid":null,"position":2,"is_corresponding":false},{"id":1513342,"name":"H. Inada","orcid":null,"position":3,"is_corresponding":false},{"id":1513343,"name":"S. Takasugi","orcid":null,"position":4,"is_corresponding":false},{"id":1513344,"name":"S. Fukui","orcid":null,"position":5,"is_corresponding":false},{"id":10403,"name":"H. Takeda","orcid":"0009-0001-9626-9308","position":6,"is_corresponding":false},{"id":1513345,"name":"H. Abe","orcid":null,"position":7,"is_corresponding":false},{"id":1513340,"name":"T. Furukawa","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Assessment of Biological Age by Multiple Regression Analysis","abstract":"In order to generate a reference value of aging, estimation of chronological age of healthy subjects was made by multiple regression analysis. It was shown that the estimated ages of hypertensive subjects by the formula used were significantly higher than their chronological ages. It was further observed that parameters representing various ability of movements might yield an alternative regression formula and that the accuracy in age estimation was improved with application of a second-order regression formula.","is_dataset_classified":null,"base_score":4.787491742782046,"endowment":4.787491742782046,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"1141673","pmcid":null,"openalex_id":"https://openalex.org/W2312753042","authors":[],"funders":[],"total_grants":0,"fwci":0.3325,"citation_percentile":0.60268343,"influential_citations":0,"citation_trend":[{"year":2012,"count":1},{"year":2013,"count":2},{"year":2014,"count":1},{"year":2015,"count":3},{"year":2017,"count":2},{"year":2018,"count":3},{"year":2019,"count":4},{"year":2020,"count":4},{"year":2021,"count":1},{"year":2022,"count":2},{"year":2023,"count":1},{"year":2024,"count":6},{"year":2025,"count":5}],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://academic.oup.com/geronj/article-pdf/30/4/422/1592456/30-4-422.pdf","host_type":"publisher"},{"url":"https://doi.org/10.1093/geronj/30.4.422","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/1141673","host_type":"repository"}],"fields_of_study":["Body Composition Measurement Techniques","Accommodation, Ocular","Adult","Aged","Aging","Bilirubin","Blood Pressure","Blood Proteins","Body Height","Body Weight","Cholesterol","Erythrocyte Count","Exercise Test","Female","Glomerular Filtration Rate","Hemoglobins","Humans","Kidney","Leukocyte Count","Liver Function Tests","Male","Mathematics","Middle Aged","Models, Biological","Physical Examination","Physical Fitness","Regression Analysis","Sensation","Statistics as Topic","Urine","Vital Capacity"],"mesh_terms":["Accommodation, Ocular","Adult","Aged","Aging","Bilirubin","Blood Pressure","Blood Proteins","Body Height","Body Weight","Cholesterol","Erythrocyte Count","Exercise Test","Female","Glomerular Filtration Rate","Hemoglobins","Humans","Kidney","Leukocyte Count","Liver Function Tests","Male","Mathematics","Middle Aged","Models, Biological","Physical Examination","Physical Fitness","Regression Analysis","Sensation","Statistics as Topic","Urine","Vital Capacity"],"keywords":["Regression","Regression analysis","Statistics","Estimation","Value (mathematics)","Linear regression","Mathematics","Regression dilution","Polynomial regression","Engineering"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-25T16:54:28.250051Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}