Youtube_video_2_2022

Author

Sebastian

Creating the environment

library(tidyverse)
── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
✓ ggplot2 3.3.5     ✓ purrr   0.3.4
✓ tibble  3.1.4     ✓ dplyr   1.0.7
✓ tidyr   1.1.3     ✓ stringr 1.4.0
✓ readr   2.0.1     ✓ forcats 0.5.1
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
x dplyr::filter() masks stats::filter()
x dplyr::lag()    masks stats::lag()
library(bibliometrix)
To cite bibliometrix in publications, please use:

Aria, M. & Cuccurullo, C. (2017) bibliometrix: An R-tool for comprehensive science mapping analysis, 
                                 Journal of Informetrics, 11(4), pp 959-975, Elsevier.
                        

https://www.bibliometrix.org

                        
For information and bug reports:
                        - Send an email to info@bibliometrix.org   
                        - Write a post on https://github.com/massimoaria/bibliometrix/issues
                        
Help us to keep Bibliometrix free to download and use by contributing with a small donation to support our research team (https://bibliometrix.org/donate.html)

                        
To start with the shiny web-interface, please digit:
biblioshiny()
library(tosr)
library(WriteXLS)

Getting data

scopus_wos <- 
  tosr_load("scopus.bib", "savedrecs.txt")
[1] 2

Converting your scopus collection into a bibliographic dataframe

Done!


Generating affiliation field tag AU_UN from C1:  Done!


Converting your wos collection into a bibliographic dataframe

Done!


Generating affiliation field tag AU_UN from C1:  Done!


 238 duplicated documents have been removed

Exporting data

WriteXLS(scopus_wos$df, "scopus_wos.xlsx")