Name: rAltmetric
Owner: rOpenSci
Description: Query and visualize metrics from altmetric.com
Created: 2012-09-28 00:16:41.0
Updated: 2017-09-03 15:55:39.0
Pushed: 2017-06-06 18:50:43.0
Homepage: http://ropensci.github.io/rAltmetric/
Size: 666
Language: R
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This package provides a way to programmatically retrieve altmetrics from various publication types (books, newsletters, articles, peer-reviewed papers and more) from 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 metricsaltmetric_data Pass it the results from the previous call to get a tidy data.frameQuestions, features requests and issues should go here.
A stable version is available from CRAN. To install
all.packages('rAltmetric')
the ? dev version
ools::install_github("ropensci/rAltmetric")
There was a 2010 paper by Acuna et al that received a lot of attention on Twitter. What was the impact of that paper?
ary(rAltmetric)
a <- altmetrics(doi = "10.1038/465860a")
a
ltmetrics on: "Metrics: Do metrics matter?" with altmetric_id: 385053 published in Nature.
stats
ited_by_fbwalls_count 3
ited_by_feeds_count 3
ited_by_gplus_count 2
ited_by_msm_count 1
ited_by_policies_count 1
ited_by_posts_count 31
ited_by_tweeters_count 20
ited_by_accounts_count 30
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.
etric_data(acuna)
title doi pmid
Metrics: Do metrics matter? 10.1038/465860a 20559361
tq1
Survey of how metrics are used in hiring, promotion and tenure decisions.
tq2
Should some professions be excluded from performance metrics? #metrics #kpi #performancemeasurement
tq3
?@Nanomedicina: Publications: Do metrics matter?
tq4 altmetric_jid
Do metrics matter? #oaweek13 (in talk @pgroth ) 4f6fa50a3cf058f610003160
issns1 issns2 journal cohorts.pub cohorts.sci cohorts.com
0028-0836 1476-4687 Nature 13 5 2
context.all.count context.all.mean context.all.rank context.all.pct
7133716 6.3030007714043 130911 98
context.all.higher_than context.journal.count context.journal.mean
7003174 44393 68.76030910975
context.journal.rank context.journal.pct context.journal.higher_than
10546 76 33847
context.similar_age_3m.count context.similar_age_3m.mean
76598 5.330816089403
context.similar_age_3m.rank context.similar_age_3m.pct
1082 98
context.similar_age_3m.higher_than context.similar_age_journal_3m.count
75516 894
context.similar_age_journal_3m.mean context.similar_age_journal_3m.rank
54.580732362822 262
context.similar_age_journal_3m.pct
70
context.similar_age_journal_3m.higher_than type altmetric_id schema
632 news 385053 1.5.4
is_oa cited_by_fbwalls_count cited_by_feeds_count cited_by_gplus_count
FALSE 3 3 2
cited_by_msm_count cited_by_policies_count cited_by_posts_count
1 1 31
cited_by_tweeters_count cited_by_accounts_count last_updated score
20 30 1454625692 53.388
history.1y history.6m history.3m history.1m history.1w history.6d
0 0 0 0 0 0
history.5d history.4d history.3d history.2d history.1d history.at
0 0 0 0 0 53.388
url added_on published_on subjects
http://dx.doi.org/10.1038/465860a 1317207766 1276646400 science
scopus_subjects readers.citeulike readers.mendeley readers.connotea
General 3 303 2
readers_count
308
images.small
https://altmetric-badges.a.ssl.fastly.net/?size=64&score=54&types=mbtttfdg
images.medium
https://altmetric-badges.a.ssl.fastly.net/?size=100&score=54&types=mbtttfdg
images.large
https://altmetric-badges.a.ssl.fastly.net/?size=180&score=54&types=mbtttfdg
details_url
http://www.altmetric.com/details.php?citation_id=385053
You can save these data into a clean spreadsheet format:
a_data <- altmetric_data(acuna)
r::write_csv(acuna_data, path = 'acuna_altmetrics.csv')
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.
ary(rAltmetric)
ary(magrittr)
ttaching package: 'magrittr'
he following object is masked from 'package:purrr':
set_names
he following object is masked from 'package:tidyr':
extract
ary(purrr)
<- list(c(
0.1038/nature09210",
0.1126/science.1187820",
0.1016/j.tree.2011.01.009",
0.1086/664183"
<- function(x) altmetrics(doi = x) %>% altmetric_data()
lts <- pmap_df(ids, alm)
is results in a data.frame with one row per identifier.
? To cite package rAltmetric in publications use:
rthik Ram (2017). rAltmetric: Retrieves altmerics data for any
blished paper from altmetrics.com. R package version 0.7.
tp://CRAN.R-project.org/package=rAltmetric
bTeX entry for LaTeX users is
anual{,
title = {rAltmetric: Retrieves altmerics data for any published paper from
etrics.com},
author = {Karthik Ram},
year = {2017},
note = {R package version 0.7},
url = {http://CRAN.R-project.org/package=rAltmetric},
