In rmaia/pavo: Perceptual Analysis, Visualization and Organization of Spectral Colour Data

Introduction

This vignette uses the data from OpenCitations, via the citecorp R package:

pavo1_doi <- "10.1111/2041-210X.12069"
pavo2_doi <- "10.1111/2041-210X.13174"

library(citecorp)
pavo_coci <- oc_coci_cites(c(pavo1_doi, pavo2_doi))

Evolution of citations accross time

library(magrittr)
library(dplyr)
library(ggplot2)

pavo_coci %>%
  mutate(year = lubridate::year(as.Date(gsub("^(\\d{4})-\\d{2}(-\\d{2})?$", "\\1", creation), format = "%Y"))) %>%
  ggplot(aes(x = year, fill = cited)) +
  geom_dotplot() +
  scale_y_continuous(NULL, breaks = NULL) +
  scale_fill_viridis_d(option = "E", name = "", labels = c("pavo 1", "pavo 2")) +
  theme_minimal()

Type of work pavo is used in

Let's start by looking at which journals published articles that used pavo:

pavo_coci %<>% full_join(oc_coci_meta(.$citing), by = c("citing" = "doi"))

rmaia/pavo documentation built on Sept. 25, 2024, 7:44 p.m.