Martin Fenner
5. Oktober 2015
rOpenSci provides R packages for scholarly APIs, including altmetrics services.
A package for the lagotto open source application. The alm tutorial is a good starting point.
Install and load the package with
#install.packages("alm")
library(alm)## Warning: package 'alm' was built under R version 3.1.3
##
##
## New to alm? Tutorial at http://ropensci.org/tutorials/alm_tutorial.html. Use suppressPackageStartupMessages() to suppress these startup messages in the future
My default the package talks to the lagotto instance run by the publisher PLOS at http://alm.plos.org. You can specify the url parameter to talk to a different instance of the Lagotto API, e.g. http://cls.labs.datacite.org.
Get metrics for a particular DOI
out <- alm_ids(doi="10.1371/journal.pone.0029797")
out$data## NULL
get metrics for a set of DOIs
dois <- c('10.1371/journal.pone.0001543','10.1371/journal.pone.0040117',
'10.1371/journal.pone.0029797','10.1371/journal.pone.0039395')
out <- alm_ids(doi=dois)
lapply(out$data, head)## $`10.1371/journal.pone.0040117`
## .id pdf html readers comments likes total
## 1 citeulike 0 0 0 0 0 0
## 2 crossref 0 0 0 0 0 11
## 3 nature 0 0 0 0 0 0
## 4 pubmed 0 0 0 0 0 11
## 5 scopus 0 0 0 0 0 22
## 6 counter 510 2742 0 0 0 3283
##
## $`10.1371/journal.pone.0039395`
## .id pdf html readers comments likes total
## 1 citeulike 0 0 0 0 0 0
## 2 crossref 0 0 0 0 0 2
## 3 nature 0 0 0 0 0 0
## 4 pubmed 0 0 0 0 0 2
## 5 scopus 0 0 0 0 0 5
## 6 counter 565 2069 0 0 0 2669
##
## $`10.1371/journal.pone.0029797`
## .id pdf html readers comments likes total
## 1 citeulike 0 0 0 0 0 0
## 2 crossref 0 0 0 0 0 9
## 3 nature 0 0 0 0 0 4
## 4 pubmed 0 0 0 0 0 2
## 5 scopus 0 0 0 0 0 11
## 6 counter 2654 33850 0 0 0 36633
##
## $`10.1371/journal.pone.0001543`
## .id pdf html readers comments likes total
## 1 citeulike 0 0 0 0 0 0
## 2 crossref 0 0 0 0 0 9
## 3 nature 0 0 0 0 0 0
## 4 pubmed 0 0 0 0 0 9
## 5 scopus 0 0 0 0 0 13
## 6 counter 497 3028 0 0 0 3579
A package for the CrossRef REST API.
#install.packages("rcrossref")
library(rcrossref)## Warning: package 'rcrossref' was built under R version 3.1.3
Using DOI content negotiation to get bibtex-formatted metadata.
cat(cr_cn(dois = "10.1126/science.169.3946.635", format = "bibtex"))## @article{Frank_1970,
## doi = {10.1126/science.169.3946.635},
## url = {http://dx.doi.org/10.1126/science.169.3946.635},
## year = 1970,
## month = {aug},
## publisher = {American Association for the Advancement of Science ({AAAS})},
## volume = {169},
## number = {3946},
## pages = {635--641},
## author = {H. S. Frank},
## title = {The Structure of Ordinary Water: New data and interpretations are yielding new insights into this fascinating substance},
## journal = {Science}
## }
DOI content negotiation also works with DataCite DOIs.
cat(cr_cn(dois = "10.6084/M9.FIGSHARE.758498", format = "bibtex"))## @data{6075de27-781e-4af1-80bd-3160627c5d0f,
## doi = {10.6084/M9.FIGSHARE.758498},
## url = {http://dx.doi.org/10.6084/M9.FIGSHARE.758498},
## author = {Scott Chamberlain; },
## publisher = {Figshare},
## title = {Sea ice cover of Southern pole in April each year from 1979 to 2013},
## year = {2013}
## }
Sometimes we need to know whether a DOI is from CrossRef or DataCite (or another registration agency).
cr_agency(dois = c("10.1126/science.169.3946.635", "10.6084/M9.FIGSHARE.758498"))## $`10.1126/science.169.3946.635`
## $`10.1126/science.169.3946.635`$DOI
## [1] "10.1126/science.169.3946.635"
##
## $`10.1126/science.169.3946.635`$agency
## $`10.1126/science.169.3946.635`$agency$id
## [1] "crossref"
##
## $`10.1126/science.169.3946.635`$agency$label
## [1] "CrossRef"
##
##
##
## $`10.6084/M9.FIGSHARE.758498`
## $`10.6084/M9.FIGSHARE.758498`$DOI
## [1] "10.6084/m9.figshare.758498"
##
## $`10.6084/M9.FIGSHARE.758498`$agency
## $`10.6084/M9.FIGSHARE.758498`$agency$id
## [1] "datacite"
##
## $`10.6084/M9.FIGSHARE.758498`$agency$label
## [1] "DataCite"
We can get 50 random DOIs from 2014 with the following:
cr_r(sample = 50, from_pub_date='2014-01-01', until_pub_date='2014-12-31')## [1] "10.1109/ase.2008.33"
## [2] "10.1007/978-3-662-26580-2_2"
## [3] "10.1098/rspb.2005.3142"
## [4] "10.1130/2014.1211(07)"
## [5] "10.4028/www.scientific.net/amr.726-731.882"
## [6] "10.3126/njr.v1i1.6316"
## [7] "10.1121/1.386688"
## [8] "10.1007/s00268-008-9901-5"
## [9] "10.3906/kim-1303-32"
## [10] "10.1371/journal.pone.0091796.g003"
## [11] "10.1007/bf03347162"
## [12] "10.1371/journal.pone.0109081.g006"
## [13] "10.1201/b14695-42"
## [14] "10.1017/s0031182000023222"
## [15] "10.5962/bhl.title.9340"
## [16] "10.1016/s1464-2859(00)80045-0"
## [17] "10.2991/emeit.2012.398"
## [18] "10.1016/s0011-9164(06)01182-9"
## [19] "10.1109/icecs.2000.911467"
## [20] "10.2307/2159627"
## [21] "10.1016/s0300-9572(96)00998-7"
## [22] "10.1109/vetec.1996.501514"
## [23] "10.1027/1618-3169.52.3.195"
## [24] "10.1016/j.apergo.2012.07.005"
## [25] "10.1136/bmj.1.587.344"
## [26] "10.1109/62.587055"
## [27] "10.1002/chin.200908171"
## [28] "10.2139/ssrn.977224"
## [29] "10.1039/ct9089301659"
## [30] "10.1109/25.350272"
## [31] "10.1117/12.264178"
## [32] "10.1016/s0957-4166(00)82222-3"
## [33] "10.1139/e76-066"
## [34] "10.1504/ijvas.2011.038177"
## [35] "10.1016/j.bbrc.2009.02.138"
## [36] "10.1180/claymin.1976.011.1.01"
## [37] "10.1111/j.1467-9345.1967.tb00314.x"
## [38] "10.1016/s0147-1767(00)00022-5"
## [39] "10.1002/ecja.4410790205"
## [40] "10.1163/1574-9347_bnp_e608640"
## [41] "10.4000/traduire.460"
## [42] "10.1186/isrctn48145465"
## [43] "10.3934/dcds.2007.18.627"
## [44] "10.1002/prac.18410230131"
## [45] "10.1016/0031-9422(93)85263-q"
## [46] "10.1097/00005392-200205000-00050"
## [47] "10.1139/o91-126"
## [48] "10.1007/bf01430380"
## [49] "10.1007/s11005-006-0130-2"
## [50] "10.1111/nous.12020"