Data for: The state of social science research on antimicrobial resistance

Published: 22 October 2019| Version 1 | DOI: 10.17632/b6zxz74j9j.1
Snorre Frid-Nielsen


This file contains raw and processed replication data, as well as source code for analysis, for the paper. Data.txt contains the raw citations data extracted from Web of Science. Cosine.csv contains the cosine similarity matrix based on bibliometric coupling. The cosine measurements are obtained by using Loet Leydesdorff's BibJourn.exe application on data.txt. See AMR Fig 2 for more details. Cr.csv contains the number of citations for the top outlets. Fig1.csv contains data comparing the number of citations in AMR and other global health emergencies. AMR Fig1.R contains the source code for Figure 1. AMR Fig2.R contains the source code for Figure 2.



Social Sciences, Antimicrobial Resistance, Network Analysis, Bibliometrics