├── .gitignore ├── README.md ├── Scopus2Histcite.py └── scopus.ris /.gitignore: -------------------------------------------------------------------------------- 1 | *.pyc 2 | *test* 3 | *tmp* 4 | *txt 5 | *.ris 6 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Scopus2HistCite 2 | 3 | 非常欣喜地发现这个小脚本在他诞生后的数年后仍然有人在使用，甚至在得到公众号`科研利器`王老师的推荐。 4 | ![enter description here](https://leoatchina-notes-1253974443.cos.ap-shanghai.myqcloud.com/Notes/2019/1/7/1546838896763.png) 5 | 6 | 最初的脚本是windows下面写的，使用的是python2。以现在的眼光看来，写的很`丑陋` 7 | 虽然我现在早已转到用`OSX`作为我的主力使用系统,但是`HISTCITE`毕竟只有`WINDOWS`版本. 8 | 准备抽空改进一下, 谢谢给我鼓励的人们. 9 | 10 | # 原来的介绍 11 | 个人工作中，经常会有这样的情况：从一篇或者几篇文章出发，找出此`领域`中被`引用`比较多，`开山祖师`级别的文献，作文献二次检索是比较容易想到的思路。 12 | 13 | 二次检索可以用scopus网站，不过怎么找出`二次检索`之后，哪些文献比较重要呢？很容易想到有类似功能的Histocite，感谢[罗昭锋的博客](http://blog.sciencenet.cn/?304685)等老师的大力推广，我在多年前就已经使用过这个软件进行文献检索。 14 | 15 | 经过观察 scopus的导出格式和 histcite的导入格式，发现其实histcite所需要的信息在scopus里都有，但是要经过一系列的加工，把无用的信息给去除，还要进行一系列的关键字代替。 16 | 17 | 代替过程:逐行读入原来的ris文件，并作相应处理 18 | 1. 第一行，写入`FN Thomson Reuters Web of Knowledge™`。第二行 写入`VR 1.0` 19 | 2. 原来ris文件，每篇文献记录间用单行隔开 20 | 3. 每篇文献由数行组成，每行开头两个字符有相应的意义，转成相应的histcite标记 21 | ``` 22 | 'TI', # title 23 | 'T2', # jounal 24 | 'AU', # author,这个代替最麻烦 25 | 'VL', # volumn 26 | 'IS', # issue 27 | 'SP', # start page 28 | 'EP', # end page 29 | 'PY', # public year 30 | 'DO' # doi ?这个不重要 31 | ``` 32 | 4. 具体代替思路可见下图，其实读源代码更清楚 33 | ![enter description here](https://leoatchina-notes-1253974443.cos.ap-shanghai.myqcloud.com/Notes/2019/1/7/1546839456058.png) 34 | 35 | 36 | # 重构完毕, 改进点 37 | - 用python3代替了python2 38 | - 代码写的更加清楚点,不像原来那么"丑" 39 | - 基本思路和原来一样,搞清楚不同的`mark`是什么意思,搞清楚一条文章记录的"起转承接",作相应的代替 40 | 41 | # 使用方法 42 | - 推荐使用[文献引文分析利器 HistCite 详细使用教程暨 HistCite Pro 首发页面](https://zhuanlan.zhihu.com/p/20902898)， 43 | - git clone我的repo或者直接下载 python脚本 44 | - 从scopus网站导出文献记录，有两个注意点 45 | 1. 要换成英文版scopus 46 | ![enter description here](https://leoatchina-notes-1253974443.cos.ap-shanghai.myqcloud.com/Notes/2019/1/7/1546839507355.png) 47 | 2. 导出时，要选择ris格式，要注意把References选上。 48 | ![enter description here](https://leoatchina-notes-1253974443.cos.ap-shanghai.myqcloud.com/Notes/2019/1/7/1546839518150.png) 49 | - 导出的文献名是**scopus.ris**，放在和`Scopus2Histcite.py`同一个目录下， 运行这个脚本 `python3 Scopus2Histcite.py` 50 | - 或者放到任意位置， `python3 Scopus2Histcite.py \path\to\your\risfile` 51 | - 会在当前目录下生成`savedres.txt`，用前面修改版的HistCite Pro导入。 52 | -------------------------------------------------------------------------------- /Scopus2Histcite.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | # -*- coding: utf-8 -*- 3 | # File : Scopus2Histcite.py 4 | # Author : leoatchina 5 | # Date : 2019.01.01 6 | # Last Modified Date: 2020.07.29 7 | # Last Modified By : leoatchina 8 | # coding:utf-8 9 | 10 | import os 11 | import sys 12 | import re 13 | 14 | 15 | def Scopus2HistCite(): 16 | try: 17 | wrt_lines = [] 18 | if len(sys.argv) >= 2 and os.path.isfile(sys.argv[1]): 19 | print("You are going to convert {}".format(sys.argv[1])) 20 | Scopus_file = sys.argv[1] 21 | elif os.path.isfile("./Scopus.ris"): 22 | print("You are going to convert ./Scopus.ris") 23 | Scopus_file = './Scopus.ris' 24 | else: 25 | raise Exception("No file spcified") 26 | auth_started = False 27 | ref_started = False 28 | LT = [ 29 | 'TI', # title 30 | 'T2', # jounal 31 | 'AU', # author 32 | 'VL', # volumn 33 | 'IS', # issue 34 | 'SP', # start page 35 | 'EP', # end page 36 | 'PY', # public year 37 | 'DO', # maybe doi? not important 38 | ] 39 | wrt_lines.append('FN Thomson Reuters Web of Knowledge™') 40 | wrt_lines.append('VR 1.0') 41 | with open(Scopus_file, 'rb') as Scopus: 42 | for each in Scopus.readlines(): 43 | line = each.strip() 44 | line = line.decode().replace(' - ', ' ') 45 | mark = line[:2] 46 | if ref_started: 47 | if mark == 'ER': 48 | wrt_lines.append('ER') 49 | wrt_lines.append('') 50 | auth_started = False 51 | ref_started = False 52 | else: 53 | wrt_lines.append(line) 54 | elif re.search("^N1[\s\-]+References:", line): 55 | ref_started = True 56 | # line = line.replace(line[:14], 'CR') 57 | line = re.sub("^N1[\s\-]+References:", 'CR', line) 58 | wrt_lines.append(line) 59 | elif mark in LT: 60 | if mark == 'TI': 61 | wrt_lines.append('PT J') 62 | else: 63 | line = line.replace('T2 ', 'SO ').replace('SP ', 'BP ') 64 | if not auth_started and mark == 'AU': 65 | auth_started = True 66 | else: 67 | line = line.replace('AU ', '') 68 | wrt_lines.append(line) 69 | with open("./savedres.txt", "w", encoding = "utf-8") as f: 70 | for line in wrt_lines: 71 | print(line) 72 | f.write(line) 73 | f.write("\n") 74 | except Exception as e: 75 | raise e 76 | 77 | 78 | if __name__ == '__main__': 79 | Scopus2HistCite() 80 | -------------------------------------------------------------------------------- /scopus.ris: -------------------------------------------------------------------------------- 1 | TI - Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III) 2 | T2 - Journal of the American Medical Association 3 | VL - 285 4 | IS - 19 5 | SP - 2486 6 | EP - 2497 7 | PY - 2001 8 | AU - Cleeman J.I. 9 | N1 - Export Date: 3 January 2016 10 | UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-0035897696&partnerID=40&md5=cf5b8dd2606377aad2a8b7a9be81f971 11 | ER - 12 | 13 | TI - PLINK: A tool set for whole-genome association and population-based linkage analyses 14 | T2 - American Journal of Human Genetics 15 | VL - 81 16 | IS - 3 17 | SP - 559 18 | EP - 575 19 | PY - 2007 20 | AU - Purcell S. 21 | AU - Neale B. 22 | AU - Todd-Brown K. 23 | AU - Thomas L. 24 | AU - Ferreira M.A.R. 25 | AU - Bender D. 26 | AU - Maller J. 27 | AU - Sklar P. 28 | AU - De Bakker P.I.W. 29 | AU - Daly M.J. 30 | AU - Sham P.C. 31 | N1 - Export Date: 3 January 2016 32 | N1 - References: Haploview, , http://www.broad.mit.edu/mpg/haploview; 33 | HapMap, , http://www.hapmap.org; 34 | PLINK and gPLINK, , http://pngu.mgh.harvard.edu/purcell/plink; 35 | Queue portal, , https://queue.coriell.org/q, at the Coriell Institute; 36 | Lander ES, Schork NJ (1994) Genetic dissection of complex traits. 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