Dataset of PLOS Computational Biology code sharing rates, 2019-2022

This dataset contains article metadata and information about code generation and sharing rates for research articles published in PLOS Computational Biology from 1 January 2019 to 31 March 2022.
The decriptive metadata, e.g. article title, publication data, author countries, is taken from the article .xml files. Additional information around code generation and sharing rates was derived using Natural Langugage Processing. The code used for this is available at http://doi.org/10.6084/m9.figshare.19738876. 
The Excel file contains 4 worksheets:
1) A README
2) Raw data
3) Calculations of the code sharing rates that are used in the Editorial
4) Data used to create Figure 1 in the Editorial.

The Editorial that this dataset supports is:
Cadwallader, L., F. Mac Gabhann, J. Papin & V. E. Pitzer (2022) Advancing code sharing in the computational biology community. PLOS Computational Biology 18(6): e1010193. https://doi.org/10.1371/journal.pcbi.1010193.

本数据集囊括了自2019年1月1日至2022年3月31日期间在《PLOS计算生物学》上发表的研究文章的元数据以及代码生成与共享率信息。描述性元数据，例如文章标题、出版日期、作者所属国家，均取自文章的.xml文件。关于代码生成与共享率的附加信息系通过自然语言处理技术获得。用于此目的的代码可在http://doi.org/10.6084/m9.figshare.19738876处获取。Excel文件包含以下四个工作表：1) README说明；2) 原始数据；3) 用于编辑部计算代码共享率的计算结果；4) 用于创建编辑部图1的数据。支持本数据集的编辑部文章为：Cadwallader, L., F. Mac Gabhann, J. Papin & V. E. Pitzer (2022) 推动计算生物学领域代码共享的进步。PLOS计算生物学 18(6): e1010193. https://doi.org/10.1371/journal.pcbi.1010193。