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Artikel 8761 Use of social network analysis methods to study professional advice and performance among healthcare providers: a systematic review
Enthalten in Systematic Reviews Bd. 6, 23.10.2017, Nr. 1, date:12.2017: 1-23
Online Ressource
Artikel 8762 Use of social network analysis to examine preferential co-occurrences in Atlantic Sturgeon Acipenser oxyrinchus oxyrinchus Mitchill, 1815
Enthalten in Animal Biotelemetry Bd. 8, 14.5.2020, Nr. 1, date:12.2020: 1-12
Online Ressource
Artikel 8763 User acceptance of social network-backed cryptocurrency: a unified theory of acceptance and use of technology (UTAUT)-based analysis
Enthalten in Financial innovation Bd. 10, 21.2.2024, Nr. 1, date:12.2024: 1-29
Online Ressource
Artikel 8764 User quality of experience estimation using social network analysis
Enthalten in Multimedia systems Bd. 28, 4.2.2022, Nr. 3, date:6.2022: 1007-1026
Online Ressource
Artikel 8765 Using an agent-based model to inform sampling design for animal social network analysis
Enthalten in Behavioral ecology and sociobiology Bd. 79, 26.3.2025, Nr. 3, date:3.2025: 1-14
Online Ressource
Artikel 8766 Using crystallography, topology and graph set analysis for the description of the hydrogen bond network of triamterene: a rational approach to solid form selection
Enthalten in Chemistry central journal Bd. 11, 13.7.2017, Nr. 1, date:12.2017: 1-19
Online Ressource
Artikel 8767 Using food network analysis to understand meal patterns in pregnant women with high and low diet quality
Enthalten in International journal of behavioral nutrition and physical activity Bd. 18, 23.7.2021, Nr. 1, date:12.2021: 1-13
Online Ressource
Artikel 8768 Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia
Enthalten in BMC bioinformatics Bd. 11, 28.10.2010, Nr. 9, date:10.2010: 1-9
Online Ressource
Artikel 8769 Using Longitudinal Social Network Analysis to Evaluate a Community-Wide Parenting Intervention
Enthalten in Prevention science Bd. 22, 19.11.2020, Nr. 1, date:1.2021: 130-143
Online Ressource
Artikel 8770 Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study
Enthalten in Scientific reports Bd. 8, 18.5.2018, Nr. 1, date:12.2018: 1-9
Online Ressource


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