bibliometrix (version 3.0.0)

convert2df: Import and Convert bibliographic export files and API objects.

Description

It converts a SCOPUS, Clarivate Analytics WoS, Dimensions, PubMed and COCHRANE Database export files or pubmedR and dimensionsR JSON/XML objects into a data frame, with cases corresponding to articles and variables to Field Tags as used in WoS.

Usage

convert2df(file, dbsource = "wos", format = "plaintext")

Arguments

file

a character array containing a sequence of object names coming from:

a)		Clarivate Analytics WoS (in plaintext '.txt', Endnote Desktop '.ciw', or bibtex formats '.bib');
b)		SCOPUS (exclusively in bibtex format '.bib');
c)		Digital Science Dimensions (in csv '.csv' or excel '.xlsx' formats);
d)		an object of the class pubmedR (package pubmedR) containing a collection obtained from a query performed with pubmedR package;

dbsource

is a character indicating the bibliographic database. dbsource can be "isi", "wos", "scopus", "dimensions" or "pubmed". Default is dbsource = "isi".

format

is a character indicating the format of the SCOPUS and Clarivate Analytics WoS export file. format can be "api", "bibtex", "plaintext", "endnote", "csv" or "excel". Default is format = "plaintext".

Value

a data frame with cases corresponding to articles and variables to Field Tags in the original export file.

I.e We have three files downlaod from Web of Science in plaintext format, file will be:

file <- c("filename1.txt", "filename2.txt", "filename3.txt")

data frame columns are named using the standard Clarivate Analytics WoS Field Tag codify. The main field tags are:

AU		Authors
TI		Document Title
SO		Publication Name (or Source)
JI		ISO Source Abbreviation
DT		Document Type
DE		Authors' Keywords
ID		Keywords associated by SCOPUS or WoS database
AB		Abstract
C1		Author Address
RP		Reprint Address
CR		Cited References
TC		Times Cited
PY		Year
SC		Subject Category
UT		Unique Article Identifier
DB		Database

for a complete list of field tags see: Field Tags used in bibliometrix

Examples

# NOT RUN {
# Example:
# Import and convert a Web of Science collection form an export file in plaintext format:

# }
# NOT RUN {
files <- 'https://www.bibliometrix.org/datasets/wos_plaintext.txt'

M <- convert2df(file = files, dbsource = 'wos', format = "plaintext")
# }
# NOT RUN {

# }