This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (511) Scientometrics, Infometrics, and Altmetrics (95)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49721, first published .
Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study

Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study

Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study

Authors of this article:

George Karystianis1 Author Orcid Image ;   Paul Simpson1 Author Orcid Image ;   Wilson Lukmanjaya1 Author Orcid Image ;   Natasha Ginnivan2 Author Orcid Image ;   Goran Nenadic3 Author Orcid Image ;   Iain Buchan4 Author Orcid Image ;   Tony Butler1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

George Karystianis   1 , BSc, MSc, PhD ;   Paul Simpson   1 , BSc (Psych), PhD ;   Wilson Lukmanjaya   1 , BSc ;   Natasha Ginnivan   2 , BSc, PGD (Psychology), PhD ;   Goran Nenadic   3 , BSc, MSc, PhD ;   Iain Buchan   4 , MD, PhD ;   Tony Butler   1 , BSc, MSc, PhD

1 School of Population Health, University of New South Wales, Sydney, Australia

2 School of Psychology, University of New South Wales, Sydney, Australia

3 School of Computer Science, University of Manchester, Manchestr, United Kingdom

4 Institute of Population Health, University of Liverpool, Liverpool, United Kingdom

Corresponding Author:

  • George Karystianis, BSc, MSc, PhD
  • School of Population Health
  • University of New South Wales
  • Samuels Building, F25, Samuel Terry Ave, Kensington
  • Sydney, 2033
  • Australia
  • Phone: 61 02 9385 2517
  • Email: g.karystianis@unsw.edu.au