• Media type: E-Article
  • Title: A Bibliometric Analysis of Global Pediatric Emergency Medicine Research Networks
  • Contributor: Barrett, Michael Joseph; Dalziel, Stuart; Lyttle, Mark; O'Sullivan, Ronan
  • Published: Ovid Technologies (Wolters Kluwer Health), 2022
  • Published in: Pediatric Emergency Care, 38 (2022) 4, Seite e1179-e1184
  • Language: English
  • DOI: 10.1097/pec.0000000000002543
  • ISSN: 1535-1815; 0749-5161
  • Origination:
  • Footnote:
  • Description: Objectives During the last 3 decades newly formed pediatric emergency medicine (PEM) research networks have been publishing research. A desire of these networks is to produce and disseminate research to improve patient health and outcomes. The aims of the study were to quantitatively analyze and compare the literature by PEM research networks globally through numeric and visual bibliometrics. Methods A bibliometric analysis of articles published from 1994 to 2019 (26 years) by authors from PEM research networks globally were retrieved using PubMed, Web of Science (Thompson Reuters), and accessing individual research network databases. Bibliometric analysis was performed utilizing Web of Science, VOSviewer, and Dimensions. Research was quantified to ascertain the number of articles, related articles, citations, and Altmetric attention score. Results A total of 493 articles were published across 9 research networks in 3 decades. Pediatric Emergency Care Applied Research Network produced the most articles, citations, and h-index of all networks. We identified 3 main groupings of productive authors across the networks who collaborate globally. The sex of the first author was female in 46% of publications, and the corresponding author(s) was female in 45%. A nonsignificant moderate positive correlation between the number of years publishing and the number of publications was identified. There was nonsignificant moderate negative association between the number of countries in a network and total publications per annum. Conclusions This study is the first bibliometric analysis of publications from PEM research networks that collaborate globally. Exploring the relationships of numerical bibliometric indicators and visualizations of productivity will benefit the understanding of the generation, reach, and dissemination of PEM research within the global research community.