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A script for visualising research trends
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install.packages("europepmc") | |
install.packages("cowplot") | |
install.packages("tidyverse") | |
library(europepmc) | |
library(cowplot) | |
library(tidyverse) | |
ot_trend <- europepmc::epmc_hits_trend(query = "oxytocin", | |
period = 2008:2018) | |
# Standard plot | |
ot_trend %>% | |
ggplot(aes(year, query_hits / all_hits)) + | |
geom_point() + | |
geom_line() | |
# Nicer plot | |
ot_trend %>% | |
ggplot(aes(x = factor(year), y = (query_hits / all_hits))) + | |
geom_col(fill = "#56B4E9", width = 0.6, alpha = 0.9) + | |
scale_y_continuous(expand = c(0, 0)) + | |
theme_minimal_hgrid(12) + | |
labs(x = "Year", y = "Proportion of all published articles") + | |
ggtitle("Interest in oxytocin research over the past decade") | |
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