--- 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 = '|') ```