Published on in Vol 11, No 2 (2022): Jul-Dec
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/42891, first published
.
![An Analysis of PubMed Abstracts From 1946 to 2021 to Identify Organizational Affiliations in Epidemiological Criminology: Descriptive Study An Analysis of PubMed Abstracts From 1946 to 2021 to Identify Organizational Affiliations in Epidemiological Criminology: Descriptive Study](https://asset.jmir.pub/assets/aa82d91753f1518ed0536df89bf5773f.png 480w,https://asset.jmir.pub/assets/aa82d91753f1518ed0536df89bf5773f.png 960w,https://asset.jmir.pub/assets/aa82d91753f1518ed0536df89bf5773f.png 1920w,https://asset.jmir.pub/assets/aa82d91753f1518ed0536df89bf5773f.png 2500w)
Journals
- Karystianis G, Simpson P, Lukmanjaya W, Ginnivan N, Nenadic G, Buchan I, Butler T. Automatic Extraction of Research Themes in Epidemiological Criminology From PubMed Abstracts From 1946 to 2020: Text Mining Study. JMIR Formative Research 2023;7:e49721 View
- Karystianis G, Lukmanjaya W, Buchan I, Simpson P, Ginnivan N, Nenadic G, Butler T. An analysis of published study designs in PubMed prisoner health abstracts from 1963 to 2023: a text mining study. BMC Medical Research Methodology 2024;24(1) View