Nothing
utils::globalVariables(c("Paper", "Tag", "content", "cont"))
pubmed2df<-function(D){
D <- D[nchar(D)>0] # remove empty rows
for (i in 1:length(D)){
if (substr(D[i],1,4)==" ") substr(D[i],1,4) <- substr(D[i-1],1,4)
}
Papers=which(regexpr("PMID-",D)==1) # first row of each document
nP=length(Papers) # number of docuemnts
rowPapers <- diff(c(Papers, length(D)+1))
numPapers <- rep(1:nP,rowPapers)
DATA <- data.frame(Tag = substr(D,1,4), content = substr(D,7,nchar(D)), Paper=numPapers)
DATA$Tag <- gsub(" ","",DATA$Tag)
df <- DATA %>% group_by(Paper, Tag) %>%
summarise(cont=paste(content, collapse="---",sep="")) %>%
arrange(Tag, Paper) %>%
pivot_wider(names_from = Tag,values_from = cont) %>%
ungroup()
df <- as.data.frame(df)
# rename field tags
error <- 0
old_labs <- c("AD","AUID","FAU","IS","IP","SO","JT","TA","MH","PG","PT","VI","DP")
new_labs <- c("C1","OI","AF","SN","IS","SO2","SO","J9","DE","PP","DT","VL","PY")
lab <- names(df)
for (j in 1:length(old_labs)){
i <- which(lab %in% old_labs[j])
if (length(i)>0) {lab[i] <- new_labs[j]}else{error <- 1}
}
names(df) <- lab
if (error == 1){
cat("\nWarning:\nIn your file, some mandatory metadata are missing. Bibliometrix functions may not work properly!\n
Please, take a look at the vignettes:
- 'Data Importing and Converting' (https://www.bibliometrix.org/vignettes/Data-Importing-and-Converting.html)
- 'A brief introduction to bibliometrix' (https://www.bibliometrix.org/vignettes/Introduction_to_bibliometrix.html)\n\n")
}
# extract DOIs
df$DI <- trimws(unlist(lapply(strsplit(df$LID,"\\["), "[",1)))
df$PY <- as.numeric(substr(df$PY,1,4))
### replace "---" with ";"
tagsComma <- c("AU","AF","DE","AID","OT","PHST","DT")
nolab <- setdiff(tagsComma,names(df))
tagsComma <- tagsComma[(!(tagsComma %in% nolab))]
df1 <- data.frame(lapply(df[tagsComma],function(x){
gsub("---",";",x)
}))
### replace "---" with " "
otherTags <- setdiff(names(df),tagsComma)
df2 <- data.frame(lapply(df[otherTags],function(x){
trimES(gsub("---"," ",x))
}))
df <- cbind(df1,df2)
rm(df1,df2)
df$DB <- "PUBMED"
# remove * char from keywords
df$DE <- df$ID <- gsub("\\*","",df$DE)
df <- data.frame(lapply(df,toupper))
# add sep ; to affiliations
df$C1 <- gsub("\\.",".;",df$C1)
df$RP <- NA
df <- df[names(df)!="Paper"]
return(df)
}
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