alm (version 0.1.9)

plot_density: Density and histogram plots from PLOS Article Level Metrics data

Description

Density and histogram plots from PLOS Article Level Metrics data

Usage

plot_density(input, source = "scopus_citations", color = "#1447f2",
  title = "", description = "", plot_type = "density")

Arguments

input

A data.frame, usuaally from a call to link{alm}.

source

Data source (column) to plot. Can be a single element, or a character vector.

color

Color of the density plot and the title. Can be a hex color or rgb, etc.

title

Title for the plot, in top matching the color of the density plot.

description

Optional description, subtending the title.

plot_type

Type of plot, one of density (default) or histogram.

References

See a tutorial/vignette for alm at http://ropensci.org/tutorials/alm_tutorial.html

Examples

library(rplos); library(plyr)
dois <- searchplos(terms='*:*', fields="id",
   toquery=list('cross_published_journal_key:PLoSONE', 'doc_type:full',
   'publication_date:[2010-01-01T00:00:00Z TO 2010-12-31T23:59:59Z]'), limit=200)
alm <- alm(doi=do.call(c,dois$id), total_details=TRUE)
alm <- ldply(alm)
plot_density(alm)
plot_density(alm, color="#DCA121")
plot_density(alm, title="Scopus citations from 2010")
plot_density(alm, title="Scopus citations from 2010", description="Probablity of
   X number of citations for a paper")
plot_density(alm, description="Probablity of X number of citations for a paper")
plot_density(input=alm, source="crossref_citations")
plot_density(input=alm, source="twitter_total")
plot_density(input=alm, source="counter_total")
plot_density(input=alm, source=c("counter_total","crossref_citations"))
plot_density(input=alm, source=c("counter_total","crossref_citations"))
plot_density(input=alm, source=c("counter_total","crossref_citations",
   "twitter_total"))
plot_density(input=alm, source=c("counter_total","crossref_citations","twitter_total"),
   color=c("#DBAC6A", "#E09B33", "#A06D34"))
plot_density(input=alm, source=c("counter_total","crossref_citations",
   "twitter_total","wos_citations"))
plot_density(input=alm, source=c("counter_total","crossref_citations"),
   title="Counter, Crossref, Twitter, and Web of Science")
plot_density(input=alm, source=c("counter_total","crossref_citations",
   "twitter_total","wos_citations"), color=c("#83DFB4","#EFA5A5","#CFD470","#B2C9E4"))