{"doi":"10.1080/1040841x.2016.1271308","title":"Response surface methodology: A non-conventional statistical tool to maximize the throughput of<i>Streptomyces</i>species biomass and their bioactive metabolites","abstract":null,"journal":"Critical Reviews in Microbiology","year":2017,"id":21896,"datarank":3.1948220928366355,"base_score":4.418840607796598,"endowment":4.418840607796598,"self_citation_contribution":0.6628260911694899,"citation_network_contribution":2.5319960016671454,"self_endowment_contribution":0.6628260911694899,"citer_contribution":2.5319960016671454,"corpus_percentile":null,"corpus_rank":null,"citation_count":82,"citer_count":80,"citers_with_citation_signal":65,"citers_with_endowment":65,"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":139374,"name":"Govindhan Sivaranjani","orcid":null,"position":1,"is_corresponding":false},{"id":139376,"name":"Dharumadurai Dhanasekaran","orcid":null,"position":2,"is_corresponding":false},{"id":139372,"name":"Selvanathan Latha","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":4.418840607796598,"endowment":4.418840607796598,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"28129718","pmcid":null,"openalex_id":"https://openalex.org/W2582170541","authors":[],"funders":[],"total_grants":0,"fwci":2.7779,"citation_percentile":0.89295791,"influential_citations":4,"citation_trend":[{"year":2018,"count":5},{"year":2019,"count":5},{"year":2020,"count":4},{"year":2021,"count":4},{"year":2022,"count":12},{"year":2023,"count":17},{"year":2024,"count":12},{"year":2025,"count":14},{"year":2026,"count":9}],"oa_status":"closed","license":null,"oa_locations":[{"url":"https://www.tandfonline.com/doi/pdf/10.1080/1040841X.2016.1271308","host_type":"publisher"},{"url":"https://doi.org/10.1080/1040841x.2016.1271308","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/28129718","host_type":"repository"}],"fields_of_study":["Microbial Natural Products and Biosynthesis","Molecular Biology Techniques and Applications","Genomics and Phylogenetic Studies","Medicine","Biology","Chemistry","Environmental Science","Anti-Bacterial Agents","Biological Products","Biomass","Data Interpretation, Statistical","Drug Discovery","Fermentation","Probiotics","Secondary Metabolism","Streptomyces"],"mesh_terms":["Anti-Bacterial Agents","Biological Products","Data Interpretation, Statistical","Fermentation","Streptomyces","Biomass","Probiotics","Drug Discovery","Secondary Metabolism"],"keywords":["Bioprocess","Response surface methodology","Biochemical engineering","Streptomyces","Bioprospecting","Biotechnology","Fermentation","Biology","Process optimization","Actinobacteria","Computer science","Food science","Engineering","Bacteria","Machine learning","Ecology","Bioactive metabolites","Yield Improvement","Bioprocess Optimization"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-06T17:10:07.275963Z","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":[]}