The web-based microblogging system Twitter is a very popular altmetrics
source for measuring the broader impact of science. In this case study, we
demonstrate how problematic the use of Twitter data for research evaluation can
be, even though the aspiration of measurement is degraded from impact to
attention measurement. We collected the Twitter data for the paper published by
Yamamizu et al. (2017). An investigative committee found that the main figures
in the paper are fraudulent