The ALM application is now being used by other publishers. Since other publishers use this same application, we can access altmetrics data from all of them with a single client. rOpenSci has made an R client for interacting with the ALM application from R, called alm.
There are now four publishers that are using the ALM app - that is, that you can get altmetrics data from: PLOS, Crossref, Publick Knowledge Project (PKP), and Copernicus. More are likely coming on line.
As a quick demonstration of the power of this single interface to many different altmetrics providers, below are a few examples.
Install and load alm
install_github("ropensci/alm")
library("alm")
Get data
PLOS article data
The default in the alm package is for the PLOS ALM app. You do need to get an API key first here http://alm.plos.org/. You can pass in the key parameter or store in your .Rprofile file and pass in that way, or do options(PlosApiKey = "yourkey") and that will be stored for your current R session.
out <- alm(doi = "10.1371/journal.pone.0036240")
head(out)
## .id pdf html shares groups comments likes citations total
## 1 citeulike NA NA 5 NA NA NA NA 5
## 2 crossref NA NA NA NA NA NA 3 3
## 3 nature NA NA NA NA NA NA 1 1
## 4 pubmed NA NA NA NA NA NA 5 5
## 5 scopus NA NA NA NA NA NA 7 7
## 6 counter 1054 15067 NA NA NA NA NA 16163
Crossref article data
You need to get a Crossref ALM API key first here http://alm.labs.crossref.org/docs/Home, and pass in a different URL
url <- "http://alm.labs.crossref.org/api/v3/articles"
alm(doi = "10.1080/15459624.2013.816432", url = url, key = getOption("crossrefalmkey"))
## .id pdf html shares groups comments likes citations total
## 1 crossref NA NA NA NA NA NA 0 0
## 2 mendeley NA NA NA TRUE NA NA NA 0
## 3 facebook NA NA 2139 NA 461 1243 NA 3843
## 4 researchblogging NA NA NA NA NA NA 0 0
## 5 pmc NA NA NA NA NA NA 0 0
## 6 copernicus NA NA NA NA NA NA NA 0
## 7 twitter_search NA NA NA NA NA NA 0 0
## 8 citeulike NA NA 0 NA NA NA NA 0
## 9 pubmed NA NA NA NA NA NA 0 0
## 10 wordpress NA NA NA NA NA NA 0 0
## 11 reddit NA NA NA NA NA NA 0 0
## 12 wikipedia NA NA NA NA NA NA 0 0
## 13 doi_resolution NA NA NA NA NA NA 0 0
## 14 datacite NA NA NA NA NA NA 0 0
## 15 pmceurope NA NA NA NA NA NA 0 0
## 16 pmceuropedata NA NA NA NA NA NA 0 0
## 17 scienceseeker NA NA NA NA NA NA 0 0
## 18 nature NA NA NA NA NA NA 0 0
## 19 openedition NA NA NA NA NA NA 0 0
Public Knowledge Project (PKP) article data
You need to get a PKP ALM API key first here http://pkp-alm.lib.sfu.ca/, and pass in a different URL
url <- "http://pkp-alm.lib.sfu.ca/api/v3/articles"
alm(doi = "10.3402/gha.v7.23554", url = url, key = getOption("pkpalmkey"))
## .id pdf html shares groups comments likes citations total
## 1 citeulike NA NA 0 NA NA NA NA 0
## 2 pubmed NA NA NA NA NA NA 0 0
## 3 wikipedia NA NA NA NA NA NA 0 0
## 4 mendeley NA NA NA TRUE NA NA NA 0
## 5 facebook NA NA 1 NA 0 0 NA 1
## 6 nature NA NA NA NA NA NA 0 0
## 7 researchblogging NA NA NA NA NA NA 0 0
## 8 crossref NA NA NA NA NA NA 0 0
## 9 scienceseeker NA NA NA NA NA NA 0 0
## 10 pmceurope NA NA NA NA NA NA 0 0
## 11 pmceuropedata NA NA NA NA NA NA 0 0
## 12 openedition NA NA NA NA NA NA 0 0
## 13 wordpress NA NA NA NA NA NA 0 0
## 14 reddit NA NA NA NA NA NA 0 0
## 15 copernicus NA NA NA NA NA NA NA 0
Copernicus publishers article data
You need to get a Copernicus ALM API key first here http://metricus.copernicus.org/, and pass in a different URL
url <- "http://metricus.copernicus.org/api/v3/articles"
alm(doi = "10.5194/fr-17-33-2014", url = url, key = getOption("copernicusalmkey"))
## .id pdf html shares groups comments likes citations total
## 1 citeulike NA NA 0 NA NA NA NA 0
## 2 pubmed NA NA NA NA NA NA 0 0
## 3 scienceseeker NA NA NA NA NA NA 0 0
## 4 nature NA NA NA NA NA NA 0 0
## 5 wikipedia NA NA NA NA NA NA 0 0
## 6 crossref NA NA NA NA NA NA 0 0
## 7 facebook NA NA 0 NA 0 0 NA 0
## 8 mendeley NA NA NA TRUE NA NA NA 0
## 9 researchblogging NA NA NA NA NA NA 0 0
## 10 copernicus 248 495 NA NA NA NA NA 749
## 11 pmceurope NA NA NA NA NA NA 0 0
## 12 pmceuropedata NA NA NA NA NA NA 0 0
## 13 openedition NA NA NA NA NA NA 0 0
## 14 wordpress NA NA NA NA NA NA 1 1
## 15 reddit NA NA NA NA NA NA 0 0
Once you have data you can leverage the great statistics and visualization power of R easily.
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