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Using Bibliometric Analysis to Map the Impact of a Simulation Program's Published Scholarly Works.
Rodgers, David L; Bohrer, Maxwell B; Morales, Adrian A; Needler, Matthew D; VandeKoppel, Paul.
Affiliation
  • Rodgers DL; From the Indiana University School of Medicine Interprofessional Simulation Center (D.L.R., M.D.N.), Bloomington, IN; Indiana University School of Medicine Department of Medicine (D.L.R.), Bloomington, IN; Indiana University School of Medicine (M.B.B., A.A.M.), Bloomington, IN; and Indiana University School of Medicine Department of Emergency Medicine (P.V.), Bloomington, IN.
Simul Healthc ; 19(3): 179-187, 2024 Jun 01.
Article in En | MEDLINE | ID: mdl-38345225
ABSTRACT
SUMMARY STATEMENT Bibliometrics quantitatively evaluates the targeted literature sources and can help define research and scholarly publications' impact and demonstrate connections for authors, departments, or universities. This article presents a methodology for simulation programs to evaluate their influence in terms of both impact and scope of their published simulation-based healthcare scholarly output. Using the authors' home university and healthcare system as an example, the article outlines a methodology to map research and scholarly works networks within the systems, identify and map connections outside the system, and quantifiably score the overall impact of the simulation program's scholarly output using a common scoring metric, the h-index. This generates an objective measure of impact, rather than a subjective opinion of an organization's research and scholarly impact. The combination of an institutional h-index with mapping of simulation-based healthcare scholarly output provides a full, objective description of the institution's output and provides a benchmark for other simulation programs for comparison.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bibliometrics / Simulation Training Type of study: Prognostic_studies Limits: Humans Language: En Journal: Simul Healthc Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2024 Type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bibliometrics / Simulation Training Type of study: Prognostic_studies Limits: Humans Language: En Journal: Simul Healthc Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2024 Type: Article Affiliation country: India