SHAPE-ID Literature Review dataset: journal occurrences with ASJC codes

Background and methodology: The dataset consists of a list of 2202 journal titles represented in the SHAPE-ID Literature Review bibliography, prepared for the purposes of quantitative analysis. The list of journals is based on 3955 journal articles in the bibliography dataset that had an International Standard Serial Number (ISSN). To each journal title the project team attributed: - a weight factor based on how many articles from the given journal featured in bibliography dataset - at least one All Science Journal Classification (ASJC) code, representing different scientific disciplines - a country of publication. In case of 1853 of those journal titles, the attribution was automatised (we matched the ISSNs of journal titles in our sample against the Scopus Sources list from February 2019). In case of the remaining 349 titles the attribution was accomplished manually, based on the information available in SCOPUS, Web of Science, JSTOR, Information Matrix for the Analysis of Journals (MIAR) and ISSN databases. Description of the file: This is a csv file containing a list of 2202 journal titles represented in the SHAPE-ID Literature Review bibliography, with country of publication and ASJC codes assigned. The file is formatted as follows: Column A: ISSN of the journal Column B: information on how country and ASJC codes were attributed. Value “N” indicates automatic attribution based on match with Scopus list of sources. Other values indicate manual attribution. Values WOS, SCOPUS, JSTOR indicate source of information. Valu “Y” indicates that information was compiled based on multiple sources. Column C: numeric values correspond to the weight factor, i.e. number of time articles from each journal featured in the SHAP-ID Literature Review bibliography. Column D: SHAPE-ID Zotero bibliography identifier. Column E: Journal title Column F: The country of publication Columns G-AD: ASJC codes (numeric and word values) associated with journal entries.

背景与研究方法：本数据集专为定量分析需求构建，包含SHAPE-ID文献综述参考文献库中收录的2202种期刊名称。该期刊列表源自参考文献库中3955篇拥有国际标准刊号（ISSN）的期刊论文。项目组为每一种期刊赋予如下属性：
- 权重因子：基于该期刊在参考文献库中收录的论文数量计算得到；
- 全科学期刊分类号（All Science Journal Classification, ASJC）：至少1个，用于标识期刊所属的不同科学学科领域；
- 期刊出版国家。

其中1853种期刊的属性赋值通过自动化方式完成：将样本中期刊的ISSN与2019年2月发布的Scopus来源列表进行匹配。剩余349种期刊的属性赋值则采用人工方式完成，参考了Scopus、Web of Science、JSTOR、期刊分析信息矩阵（Information Matrix for the Analysis of Journals, MIAR）以及ISSN数据库中的公开信息。

文件说明：本文件为CSV格式，包含SHAPE-ID文献综述参考文献库中收录的2202种期刊名称，以及已完成赋值的期刊出版国家与ASJC分类号。文件格式如下：
A列：期刊国际标准刊号（ISSN）
B列：期刊出版国家与ASJC分类号的赋值方式说明。取值为“N”时，表示通过匹配Scopus来源列表完成自动化赋值；其他取值表示采用人工赋值方式，其中WOS、SCOPUS、JSTOR分别代表赋值所参考的数据库来源；取值为“Y”时，表示信息基于多个数据源整合得到。
C列：数值型权重因子，即该期刊在SHAPE-ID文献综述参考文献库中收录的论文总频次。
D列：SHAPE-ID Zotero参考文献库标识符
E列：期刊名称
F列：期刊出版国家
G列至AD列：与期刊条目关联的ASJC分类号（包含数值与文本两种形式）