scientoText: Text & Scientometric Analytics
Version 0.1

It involves bibliometric indicators calculation from bibliometric data.It also deals pattern analysis using the text part of bibliometric data.The bibliometric data are obtained from mainly Web of Science and Scopus.

Browse man pages Browse package API and functions Browse package files

AuthorAshraf Uddin
Date of publication2016-07-20 23:55:39
MaintainerAshraf Uddin <mdaakib18@gmail.com>
LicenseGPL-3
Version0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("scientoText")

Man pages

author_info: Authors' Information
authorship_pattern: Co-authorship Matrix and Average co-authorship
citation_info: Citations and Cited Instances
country_pattern: Country Instances
g_index: g index
highly_cited: Highly Cited Instances
h_index: h index
international_col: International Collaboration
international_colmat: International Collaboration Matrix
term_freq: Term Frequency

Functions

author_info Man page Source code
authorship_pattern Man page Source code
citation_info Man page Source code
country_pattern Man page Source code
g_index Man page Source code
h_index Man page Source code
highly_cited Man page Source code
international_col Man page Source code
international_colmat Man page Source code
term_freq Man page Source code

Files

NAMESPACE
R
R/citation_info.R
R/authorship_pattern.R
R/index.R
R/country_pattern.R
R/collaboration.R
R/highly_cited.R
R/author_info.R
R/textM.R
MD5
DESCRIPTION
man
man/h_index.Rd
man/highly_cited.Rd
man/term_freq.Rd
man/authorship_pattern.Rd
man/country_pattern.Rd
man/citation_info.Rd
man/international_colmat.Rd
man/g_index.Rd
man/international_col.Rd
man/author_info.Rd
scientoText documentation built on May 20, 2017, 2:25 a.m.