R clients to the Web of Science and Incites APIs
You can get the stable version from CRAN:
install.packages("wosr")
Or the development version from GitHub:
if (!"devtools" %in% rownames(installed.packages()))
install.packages("devtools")
devtools::install_github("vt-arc/wosr")
library(wosr)
# Save your WoS API username and password in environment variables
Sys.setenv(WOS_USERNAME = "your_username", WOS_PASSWORD = "your_password")
# Get session ID
sid <- auth()
# Query WoS to see how many results match your query
query <- 'TS = ("animal welfare") AND PY = (2002-2003)'
query_wos(query, sid = sid)
#> Matching records: 548
# Download data
pull_wos(query, sid = sid)
#> List of 9
#> $ publication :'data.frame': 548 obs. of 7 variables:
#> ..$ ut : chr [1:548] "WOS:000186387100005" ...
#> ..$ title : chr [1:548] "Farm animal welfare: The interaction of et"..
#> ..$ journal : chr [1:548] "Animal Welfare" ...
#> ..$ date : Date[1:548], format: "2003-11-01" ...
#> ..$ doi : chr [1:548] NA ...
#> ..$ tot_cites: int [1:548] 37 15 ...
#> ..$ abstract : chr [1:548] "Farm animal welfare has now been studied, "..
#> $ author :'data.frame': 1438 obs. of 7 variables:
#> ..$ ut : chr [1:1438] "WOS:000186387100005" ...
#> ..$ author_no : int [1:1438] 1 2 ...
#> ..$ display_name: chr [1:1438] "Sandoe, P" ...
#> ..$ first_name : chr [1:1438] "P" ...
#> ..$ last_name : chr [1:1438] "Sandoe" ...
#> ..$ email : chr [1:1438] "[email protected]" ...
#> ..$ daisng_id : int [1:1438] 193024 3304655 ...
#> $ address :'data.frame': 838 obs. of 7 variables:
#> ..$ ut : chr [1:838] "WOS:000186387100005" ...
#> ..$ addr_no : int [1:838] 1 2 ...
#> ..$ org_pref: chr [1:838] "University of Copenhagen" ...
#> ..$ org : chr [1:838] "Royal Vet & Agr Univ" ...
#> ..$ city : chr [1:838] "Frederiksberg" ...
#> ..$ state : chr [1:838] NA ...
#> ..$ country : chr [1:838] "Denmark" ...
#> $ author_address:'data.frame': 18 obs. of 3 variables:
#> ..$ ut : chr [1:18] "WOS:000208276800197" ...
#> ..$ author_no: int [1:18] 1 2 ...
#> ..$ addr_no : int [1:18] 1 1 ...
#> $ jsc :'data.frame': 901 obs. of 2 variables:
#> ..$ ut : chr [1:901] "WOS:000186387100005" ...
#> ..$ jsc: chr [1:901] "Veterinary Sciences" ...
#> $ keyword :'data.frame': 2096 obs. of 2 variables:
#> ..$ ut : chr [1:2096] "WOS:000186387100005" ...
#> ..$ keyword: chr [1:2096] "animal welfare" ...
#> $ keywords_plus :'data.frame': 2020 obs. of 2 variables:
#> ..$ ut : chr [1:2020] "WOS:000179260700001" ...
#> ..$ keywords_plus: chr [1:2020] "system" ...
#> $ grant :'data.frame': 1 obs. of 3 variables:
#> ..$ ut : chr "WOS:000208574800048"
#> ..$ grant_agency: chr "Selcuk University Research Foundation"
#> ..$ grant_id : chr "2000/062"
#> $ doc_type :'data.frame': 642 obs. of 2 variables:
#> ..$ ut : chr [1:642] "WOS:000186387100005" ...
#> ..$ doc_type: chr [1:642] "Article" ...
# Save your InCites developer key in an environment variable
Sys.setenv(INCITES_KEY = "your_key")
# Vector of UTs (publication identifiers) to get InCites data for
uts <- c("000272272000015", "000272366800025", "000272877700013")
# Download InCites data for those UTs
pull_incites(uts)
#> ut article_type tot_cites journal_expected_citations
#> 1.1 WOS:000272877700013 AA 1 3.4
#> 1.2 WOS:000272366800025 AA 4 4.3
#> 1.3 WOS:000272272000015 AA 3 9.1
#> journal_act_exp_citations impact_factor avg_expected_rate percentile
#> 1.1 0.29 0.49 20 87
#> 1.2 0.93 0.85 20 63
#> 1.3 0.33 1.90 20 69
#> nci esi_most_cited_article hot_paper is_international_collab
#> 1.1 0.05 FALSE FALSE FALSE
#> 1.2 0.20 FALSE FALSE FALSE
#> 1.3 0.15 FALSE FALSE FALSE
#> is_institution_collab is_industry_collab oa_flag
#> 1.1 FALSE FALSE FALSE
#> 1.2 FALSE FALSE FALSE
#> 1.3 FALSE FALSE FALSE
# Download WoS data
wos <- pull_wos('TS = ("dog welfare")', sid = sid)
# Download InCites data
head(pull_incites(wos$publication$ut))
#> ut article_type tot_cites journal_expected_citations
#> 1.1 WOS:A1996VH04300002 AA 19 30.308
#> 1.2 WOS:000439855300030 L 0 0.068
#> 1.3 WOS:000438259600009 AA 1 1.186
#> 1.4 WOS:000438259600004 AA 1 1.186
#> 1.5 WOS:000436270600004 AA 1 0.321
#> 1.6 WOS:000435128900013 R 3 2.000
#> journal_act_exp_citations impact_factor avg_expected_rate percentile
#> 1.1 0.63 1.5 19.20 22.8
#> 1.2 0.00 2.0 0.11 100.0
#> 1.3 0.84 1.6 0.21 12.5
#> 1.4 0.84 1.6 0.21 12.5
#> 1.5 3.12 1.7 0.15 11.5
#> 1.6 1.50 1.6 0.40 1.5
#> nci esi_most_cited_article hot_paper is_international_collab
#> 1.1 0.99 FALSE FALSE FALSE
#> 1.2 0.00 FALSE FALSE FALSE
#> 1.3 4.74 FALSE FALSE FALSE
#> 1.4 4.74 FALSE FALSE FALSE
#> 1.5 6.46 FALSE FALSE FALSE
#> 1.6 7.46 FALSE FALSE TRUE
#> is_institution_collab is_industry_collab oa_flag
#> 1.1 FALSE FALSE FALSE
#> 1.2 FALSE FALSE FALSE
#> 1.3 FALSE FALSE FALSE
#> 1.4 FALSE FALSE FALSE
#> 1.5 FALSE FALSE TRUE
#> 1.6 TRUE FALSE FALSE
- To learn more, head over to
wosr
's webpage.