## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----eval = FALSE------------------------------------------------------------- # # Load LitFetchR # library(LitFetchR) ## ----eval=FALSE--------------------------------------------------------------- # # Load LitFetchR # library(LitFetchR) # # # Retrieve the list of references corresponding to your saved search string(s) # #We recommend choosing the R project directory as the directory in the function. It has to be the directory where "search_list.txt" and "history_search.xlsx" have been saved. # # # Example of what you should see: # # > manual_fetch(wos = TRUE, # # scp = TRUE, # # pmd = TRUE, # # directory = "C:/path-to-project-directory", # # dedup = TRUE, # # open_file = FALSE) # # [1] 126 # # Finished batch number 1 # # Finished batch number 2 # # [1] "10.1016/j.aaf.2023.11.002 1 / 126" # # [1] "10.3390/fishes10090439 2 / 126" # # [FOR THE PURPOSE OF THIS EXAMPLE WE ARE NOT SHOWING EACH LINE OF THE COMMAND] # # [THE REMOVED LINES CORRESPOND TO MOST OF THE REFERENCE RETRIEVAL COUNTING] # # [1] "NA 125 / 126" # # [1] "NA 126 / 126" # # [1] 22 # # Finished batch number 1 # # File already exists # # [1] "10.1007/s12602-023-10207-x 1 / 22" # # [1] "10.1016/j.fsi.2025.110189 2 / 22" # # [FOR THE PURPOSE OF THIS EXAMPLE WE ARE NOT SHOWING EACH LINE OF THE COMMAND] # # [THE REMOVED LINES CORRESPOND TO MOST OF THE REFERENCE RETRIEVAL COUNTING] # # [1] "10.1111/j.1472-765X.2010.02894.x 21 / 22" # # [1] "NA 22 / 22" # # [1] 106 # # Finished batch 1 for fish AND "vibrio harveyi" AND diagnostic # # File already exists # # [1] "10.1016/j.fsi.2025.110503 1 / 106" # # [1] "10.1016/j.fsi.2025.110501 2 / 106" # # [FOR THE PURPOSE OF THIS EXAMPLE WE ARE NOT SHOWING EACH LINE OF THE COMMAND][1] "NA 105 / 106" # # [THE REMOVED LINES CORRESPOND TO MOST OF THE REFERENCE RETRIEVAL COUNTING] # # [1] "NA 106 / 106" # # Warning: The following columns are missing: pages, number, record_id, isbn # # formatting data... # # identifying potential duplicates... # # identified duplicates! # # flagging potential pairs for manual dedup... # # Joining with `by = join_by(duplicate_id.x, duplicate_id.y)` # # 254 citations loaded... # # 14 duplicate citations removed... # # 240 unique citations remaining! # # Deduplication script has been executed, concatenated deduplicated references had been exported. # # Warning message: # # In add_missing_cols(raw_citations) : # # Search contains missing values for the record_id column. A record_id will be created using row numbers