CreateDB.wos converts a data.frame with WoS variables (see wosdf) into...
CreateDB.wos(wosdf, label = "", print = interactive())
# S3 method for wos.db
print(x, ...)
# S3 method for wos.db
plot(
x,
filter,
which = 1:3,
plot.summary = FALSE,
which.summary = 1:5,
nmax = 10,
plot.summary.year = FALSE,
which.summary.year = 1:3,
accuracy = 0.1,
ask = (length(which) + plot.summary * length(which.summary) + plot.summary.year *
length(which.summary.year) > 1) && dev.interactive(),
...
)data.frame with WoS data... (as returned by ImportSources.wos).
character string describing the data.
logical; if TRUE the progress is printed.
an object used to select a method.
further arguments passed to or from other methods.
vector of document identifiers (usually a result of get.idDocs).
if a subset of the plots is required,
specify a subset of the numbers 1:3.
logical; if TRUE, plot.summary.wos.db is called.
indices of the required plots in plot.summary.wos.db.
number of top levels (see summary.wos.db).
logical; if TRUE, plot.summary.year is called.
indices of the required plots in plot.summary.year.
numerical scalar; see label_number(accuracy=.).
logical; if TRUE, the user is asked before each plot,
see par(ask=.).
An S3 object of class
wos.db.
A list with the folowing data.frames:
Authors AutDoc Categories CatDoc Areas AreaDoc Addresses AddAutDoc Sources
db <- CreateDB.wos(wosdf)
str(db, 1)
#> List of 11
#> $ Docs :'data.frame': 856 obs. of 25 variables:
#> ..- attr(*, "variable.labels")= Named chr [1:62] "Publication type" "Author" "Book authors" "Editor" ...
#> .. ..- attr(*, "names")= chr [1:62] "PT" "AU" "BA" "BE" ...
#> $ Authors :'data.frame': 4053 obs. of 4 variables:
#> $ AutDoc :'data.frame': 5511 obs. of 2 variables:
#> $ Categories:'data.frame': 189 obs. of 2 variables:
#> $ CatDoc :'data.frame': 1495 obs. of 2 variables:
#> $ Areas :'data.frame': 121 obs. of 2 variables:
#> $ AreaDoc :'data.frame': 1364 obs. of 2 variables:
#> $ Addresses :'data.frame': 3655 obs. of 5 variables:
#> $ AddAutDoc :'data.frame': 7751 obs. of 3 variables:
#> $ Sources :'data.frame': 520 obs. of 14 variables:
#> $ label : chr ""
#> - attr(*, "variable.labels")= Named chr [1:62] "Publication type" "Author" "Book authors" "Editor" ...
#> ..- attr(*, "names")= chr [1:62] "PT" "AU" "BA" "BE" ...
#> - attr(*, "class")= chr "wos.db"
print(db)
#> List of 11
#> $ Docs :'data.frame': 856 obs. of 25 variables:
#> ..- attr(*, "variable.labels")= Named chr [1:62] "Publication type" "Author" "Book authors" "Editor" ...
#> .. ..- attr(*, "names")= chr [1:62] "PT" "AU" "BA" "BE" ...
#> $ Authors :'data.frame': 4053 obs. of 4 variables:
#> $ AutDoc :'data.frame': 5511 obs. of 2 variables:
#> $ Categories:'data.frame': 189 obs. of 2 variables:
#> $ CatDoc :'data.frame': 1495 obs. of 2 variables:
#> $ Areas :'data.frame': 121 obs. of 2 variables:
#> $ AreaDoc :'data.frame': 1364 obs. of 2 variables:
#> $ Addresses :'data.frame': 3655 obs. of 5 variables:
#> $ AddAutDoc :'data.frame': 7751 obs. of 3 variables:
#> $ Sources :'data.frame': 520 obs. of 14 variables:
#> $ label : chr ""
#> - attr(*, "variable.labels")= Named chr [1:62] "Publication type" "Author" "Book authors" "Editor" ...
#> ..- attr(*, "names")= chr [1:62] "PT" "AU" "BA" "BE" ...
#> - attr(*, "class")= chr "wos.db"
summary(db)
#> Number of documents: 856
#> Authors: 4053
#> Period: 2015
#>
#> Document types:
#> Documents
#> Article 618
#> Article; Proceedings Paper 28
#> Book Review 7
#> Correction 4
#> Editorial Material 22
#> Letter 24
#> Meeting Abstract 114
#> News Item 2
#> Review 37
#>
#> Number of authors per document:
#> Min. 1st Qu. Median Mean 3rd Qu. Max.
#> 1.000 3.000 5.000 6.438 8.000 98.000
#>
#> Number of documents per author:
#> Min. 1st Qu. Median Mean 3rd Qu. Max.
#> 1.00 1.00 1.00 1.36 1.00 16.00
#>
#> Number of times cited:
#> Min. 1st Qu. Median Mean 3rd Qu. Max.
#> 0.000 0.000 1.000 2.071 3.000 28.000
#>
#> Indexes:
#> H G
#> 14 17
#>
#> Top Categories:
#> Documents
#> Rheumatology 48
#> Cardiac & Cardiovascular Systems 40
#> Environmental Sciences 39
#> Engineering, Civil 35
#> Plant Sciences 31
#> Surgery 31
#> Oncology 26
#> Respiratory System 26
#> Chemistry, Analytical 25
#> Computer Science, Artificial Intelligence 25
#> Others 1169
#>
#> Top Areas:
#> Documents
#> Engineering 87
#> Chemistry 84
#> Computer Science 65
#> Environmental Sciences & Ecology 50
#> Rheumatology 48
#> Cardiovascular System & Cardiology 43
#> Mathematics 38
#> Biochemistry & Molecular Biology 32
#> Business & Economics 32
#> Plant Sciences 31
#> Others 854
#>
#> Top Journals:
#> Documents
#> Arthritis Rheumatol. 21
#> Osteoarthritis Cartilage 14
#> PLoS One 10
#> Rev. Esp. Cardiol. 10
#> Inorg. Chem. 9
#> J. Heart Lung Transplant. 9
#> Commun. Soil Sci. Plant Anal. 9
#> Eur. J. Phycol. 9
#> Constr. Build. Mater. 8
#> Sci. Total Environ. 6
#> Others 751
#>
#> Top Countries:
#> Documents
#> Spain 855
#> USA 71
#> UK 62
#> France 51
#> Portugal 49
#> Italy 38
#> Germany 34
#> Belgium 24
#> Netherlands 23
#> Brazil 15
#> Others 236