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crew102 committed Sep 29, 2018
1 parent 99da305 commit 52ffc38
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110 changes: 55 additions & 55 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -48,49 +48,49 @@ query_wos(query, sid = sid)
pull_wos(query, sid = sid)
#> List of 9
#> $ publication :'data.frame': 548 obs. of 7 variables:
#> ..$ ut : chr [1:548] "WOS:000173956100001" ...
#> ..$ title : chr [1:548] "FMD and animal welfare" ...
#> ..$ journal : chr [1:548] "Veterinary Record" ...
#> ..$ date : Date[1:548], format: "2002-01-26" ...
#> ..$ 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: num [1:548] 0 0 ...
#> ..$ abstract : 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:000176714800003" ...
#> ..$ author_no : num [1:1438] 1 1 ...
#> ..$ display_name: chr [1:1438] "Nolen, RS" ...
#> ..$ first_name : chr [1:1438] "RS" ...
#> ..$ last_name : chr [1:1438] "Nolen" ...
#> ..$ email : chr [1:1438] NA ...
#> ..$ daisng_id : num [1:1438] 25184 ...
#> ..$ 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] 196427 3327343 ...
#> $ address :'data.frame': 838 obs. of 7 variables:
#> ..$ ut : chr [1:838] "WOS:000182036200014" ...
#> ..$ addr_no : num [1:838] 1 1 ...
#> ..$ org_pref: chr [1:838] "University of Prince Edward Island" ...
#> ..$ org : chr [1:838] "Univ Prince Edward Isl" ...
#> ..$ city : chr [1:838] "Charlottetown" ...
#> ..$ state : chr [1:838] "PE" ...
#> ..$ country : chr [1:838] "Canada" ...
#> ..$ 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: num [1:18] 1 2 ...
#> ..$ addr_no : num [1:18] 1 1 ...
#> ..$ 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:000173956100001" ...
#> ..$ 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:000177154900014" ...
#> ..$ keyword: chr [1:2096] "animality" ...
#> ..$ 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:000180265600060" ...
#> ..$ keywords_plus: chr [1:2020] "housing conditions" ...
#> ..$ 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:000173956100001" ...
#> ..$ doc_type: chr [1:642] "Editorial Material" ...
#> ..$ ut : chr [1:642] "WOS:000186387100005" ...
#> ..$ doc_type: chr [1:642] "Article" ...
```

InCites
Expand All @@ -108,17 +108,17 @@ 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 3.3
#> 1.2 WOS:000272366800025 AA 4 4.2
#> 1.3 WOS:000272272000015 AA 2 8.8
#> 1.1 WOS:000272877700013 AA 1 3.4
#> 1.2 WOS:000272366800025 AA 4 4.3
#> 1.3 WOS:000272272000015 AA 3 8.9
#> journal_act_exp_citations impact_factor avg_expected_rate percentile
#> 1.1 0.30 0.47 20 87
#> 1.2 0.95 0.80 20 62
#> 1.3 0.23 1.28 20 77
#> 1.1 0.30 0.49 20 87
#> 1.2 0.94 0.85 20 63
#> 1.3 0.34 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 0.10 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
Expand All @@ -135,32 +135,32 @@ 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 18 29.879
#> 1.2 WOS:000425564500005 AA 0 0.022
#> 1.3 WOS:000425532500001 R 0 0.333
#> 1.4 WOS:000422961700001 AA 0 0.459
#> 1.5 WOS:000422961000002 R 3 0.500
#> 1.6 WOS:000422958400008 R 1 2.182
#> 1.1 WOS:A1996VH04300002 AA 18 30.07
#> 1.2 WOS:000435128900013 R 2 1.50
#> 1.3 WOS:000432234000011 AA 0 0.12
#> 1.4 WOS:000425564500005 AA 0 0.12
#> 1.5 WOS:000425532500001 R 0 0.67
#> 1.6 WOS:000422961700001 AA 0 0.64
#> journal_act_exp_citations impact_factor avg_expected_rate percentile
#> 1.1 0.60 1.8 18.945 23.7
#> 1.2 0.00 1.8 0.066 100.0
#> 1.3 0.00 2.2 0.267 100.0
#> 1.4 0.00 -1.0 0.519 100.0
#> 1.5 6.00 -1.0 0.940 9.8
#> 1.6 0.46 -1.0 3.624 72.8
#> 1.1 0.6 1.5 19.07 23.9
#> 1.2 1.3 1.6 0.25 2.1
#> 1.3 0.0 1.5 0.11 100.0
#> 1.4 0.0 1.5 0.11 100.0
#> 1.5 0.0 2.8 0.40 100.0
#> 1.6 0.0 1.7 0.69 100.0
#> nci esi_most_cited_article hot_paper is_international_collab
#> 1.1 0.95 FALSE FALSE FALSE
#> 1.2 0.00 FALSE FALSE FALSE
#> 1.1 0.94 FALSE FALSE FALSE
#> 1.2 8.07 FALSE FALSE TRUE
#> 1.3 0.00 FALSE FALSE FALSE
#> 1.4 0.00 FALSE FALSE FALSE
#> 1.5 3.19 FALSE FALSE FALSE
#> 1.6 0.28 FALSE FALSE FALSE
#> 1.5 0.00 FALSE FALSE FALSE
#> 1.6 0.00 FALSE FALSE FALSE
#> is_institution_collab is_industry_collab oa_flag
#> 1.1 FALSE FALSE FALSE
#> 1.2 FALSE FALSE FALSE
#> 1.2 TRUE FALSE FALSE
#> 1.3 FALSE FALSE FALSE
#> 1.4 FALSE FALSE TRUE
#> 1.5 FALSE FALSE TRUE
#> 1.4 FALSE FALSE FALSE
#> 1.5 FALSE FALSE FALSE
#> 1.6 FALSE FALSE TRUE
```

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