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BioMed.Rmd
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BioMed.Rmd
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---
title: "Core SCI Journal List For Chinese Academics in Biology & Medicine"
author: "Weibin Huang"
date: "`r Sys.Date()`"
output:
prettydoc::html_pretty:
theme: architect
toc: TRUE
toc_depth: 3
highlight: github
math: katex
keep_md: false
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, warning = FALSE, comment = '')
```
# Packages
```{r}
packages_needed <- c("dplyr","plyr","readxl","readr","stringr")
if (!requireNamespace("pacman", quietly = TRUE)){
install.packages("pacman")
library(pacman)
} else {
library(pacman)
}
for(i in packages_needed){p_load(char=i)}
```
# Data
Load JCR information data:
```{r}
# 来自微信公众号: 生信小课堂
j <- read_xlsx('raw/2022IF.xlsx', na = c("", "N/A"), col_types = c( "text", "text","text", "text", "numeric", "numeric", "numeric", "numeric")) %>%
arrange(category, desc(IF)) %>%
as.data.frame()
str(j)
```
# Filtering
All Journals listed in Pubmed:
```{r}
issn_avail <- read_delim('raw/List of All Journals in Pubmed.txt', delim = '\t') %>%
as.matrix() %>% as.character() %>%
.[grepl('issn',., ignore.case = T)] %>%
str_extract(.,pattern = '[0-9|X]{4}[-][0-9|X]{4}') %>%
unique(.[!is.na(.)])
```
Warning journals in bioMed
> https://earlywarning.fenqubiao.com/#/zh-cn/early-warning-journal-list-2021
```{r}
issn_warn <- c(
# BioFactors
'0951-6433',
# Frontiers in Cell and Developmental Biology
'2296-634X',
# Pharmazie
'0031-7144',
# Molecular Therapy-Nucleic Acids
'2162-2531',
# Experimental and Molecular Pathology
'0014-4800',
# Journal of Cellular and Molecular Medicine
'1582-1838',
# Molecular Medicine Reports
'1791-2997',
# Journal of International Medical Research
'0300-0605',
# Journal of Cancer
'1837-9664',
# Aging-US
'1945-4589',
# OncoTargets and Therapy,
'1178-6930',
# Cancer Management and Research
'1179-1322',
# World Journal of Clinical Cases
'2307-8960',
# Annals of Palliative Medicine
'2224-5820'
)
```
ISSN available in Pubmed:
```{r}
j$ISSN <- apply(
as.matrix(j[c('issn', 'eissn')]),
1,
function(x){
x2 <- x[x %in% issn_avail]
if(length(x2) == 0){
return(NA)
} else if(length(x2) == 1) {
return(x2)
} else {
return(x2[1])
}
})
```
Target journals:
```{r}
# Filters
target_biomed <- read.table('raw/SCI category_Biology&Medicine.txt')[,1] %>%
as.character() %>%
paste0(.,collapse = '|')
target_other <- 'MULTIDISCIPLINARY SCIENCES' # Nature/Science等杂志
target_sci <- 'SSCI|SCIE'
# Target
j_biomed <- filter(
j,
# Not a Warning journal in Chinese Academy of Sciences Ranking
!ISSN %in% issn_warn,
# With availble Impact factor
!is.na(IF),
# With ISSN in Pubmed
!is.na(ISSN),
# IF>=5 And Q1/Q2; IF < 5 And Q1
(IF>=5 & grepl('Q1|Q2', category) & !grepl('Q3|Q4', category)) | (IF < 5 & grepl('Q1', category) & !grepl('Q2|Q3|Q4', category)),
# Area in Biology/Medicine/Multidisciprinary
grepl(target_biomed, category) | grepl(target_other, category),
# As a SSCI/SCIE journal
grepl(target_sci, category)
) %>% arrange(desc(IF))
```
Have a look at the target journals:
```{r}
head(j_biomed[c('journal_name', 'ISSN', 'IF')], n=10)
```
# ISSN
## IF>=15
```{r}
j_biomed_15 <- filter(j_biomed, IF>=15)
j_biomed_15$ISSN %>% paste0(.,collapse = '|')
```
## 15>IF>=10
```{r}
j_biomed_10 <- filter(j_biomed, IF<15, IF>=10)
j_biomed_10$ISSN %>% paste0(.,collapse = '|')
```
## 10>IF>=7
```{r}
j_biomed_7 <- filter(j_biomed, IF<10, IF>=7)
j_biomed_7$ISSN %>% paste0(.,collapse = '|')
```
## 7>IF>=6
```{r}
j_biomed_6 <- filter(j_biomed, IF<7, IF>=6)
j_biomed_6$ISSN %>% paste0(.,collapse = '|')
```
## 6>IF>=5.5
```{r}
j_biomed_5.5 <- filter(j_biomed, IF<6, IF>=5.5)
j_biomed_5.5$ISSN %>% paste0(.,collapse = '|')
```
## 5.5>IF>=5
```{r}
j_biomed_5 <- filter(j_biomed, IF<5.5, IF>=5)
j_biomed_5$ISSN %>% paste0(.,collapse = '|')
```
## IF<5
```{r}
j_biomed_m5 <- filter(j_biomed, IF<5)
j_biomed_m5$ISSN %>% paste0(.,collapse = '|')
```