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README.Rmd
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README.Rmd
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---
output: github_document
---
[](http://www.repostatus.org/#active)
[](https://travis-ci.org/ropensci/rAltmetric)
---
[](https://cran.r-project.org/)
[](https://cran.r-project.org/package=rAltmetric)
[](commits/master)
---
[)`-yellowgreen.svg)](/commits/master)
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
cache = TRUE,
comment = "#>",
fig.path = "README-"
)
```
# rAltmetric
[](https://travis-ci.org/ropensci/rAltmetric)
[](https://ci.appveyor.com/project/ropensci/rAltmetric)
[](https://codecov.io/github/ropensci/rAltmetric?branch=master)
This package provides a way to programmatically retrieve altmetrics from various publication types (books, newsletters, articles, peer-reviewed papers and more) from [altmetric.com](http://altmetric.com). The package is really simple to use and only has two major functions:
- `altmetrics` - Pass it a doi, isbn, uri, arxiv id or other to get metrics
- `altmetric_data` Pass it the results from the previous call to get a tidy `data.frame`
Questions, features requests and issues should go [here](https://github.com/ropensci/rAltmetric/issues/).
# Installing the package 🛠
A stable version is available from CRAN. To install
```r
install.packages('rAltmetric')
# or the 👷 dev version
devtools::install_github("ropensci/rAltmetric")
```
# Quick Tutorial
## Obtaining metrics
There was a 2010 paper by [Acuna et al](http://www.nature.com/news/2010/100616/full/465860a.html) that received a lot of attention on Twitter. What was the impact of that paper?
```{r}
library(rAltmetric)
acuna <- altmetrics(doi = "10.1038/465860a")
acuna
```
## Data
To obtain the metrics in tabular form for further processing, run any object of class `altmetric` through `altmetric_data()` to get a `data.frame` that can easily be written to disk.
```{r}
altmetric_data(acuna)
```
You can save these data into a clean spreadsheet format:
```r
acuna_data <- altmetric_data(acuna)
readr::write_csv(acuna_data, path = 'acuna_altmetrics.csv')
```
# Gathering metrics for many DOIs
For a real world use-case, one might want to get metrics on multiple publications. If so, just read them from a spreadsheet and `llply` through them like the example below.
```{r}
library(rAltmetric)
library(magrittr)
library(purrr)
ids <- list(c(
"10.1038/nature09210",
"10.1126/science.1187820",
"10.1016/j.tree.2011.01.009",
"10.1086/664183"
))
alm <- function(x) altmetrics(doi = x) %>% altmetric_data()
results <- pmap_df(ids, alm)
# This results in a data.frame with one row per identifier.
```
## Further reading
* [Metrics: Do metrics matter?](http://www.nature.com/news/2010/100616/full/465860a.html)
* [The altmetrics manifesto](http://altmetrics.org/manifesto/)
📚 To cite package `rAltmetric` in publications use:
```r
Karthik Ram (2017). rAltmetric: Retrieves altmerics data for any
published paper from altmetrics.com. R package version 0.7.
http://CRAN.R-project.org/package=rAltmetric
A BibTeX entry for LaTeX users is
@Manual{,
title = {rAltmetric: Retrieves altmerics data for any published paper from
altmetrics.com},
author = {Karthik Ram},
year = {2017},
note = {R package version 0.7},
url = {http://CRAN.R-project.org/package=rAltmetric},
}
```
[](http://ropensci.org)