Data for "ENGINEERS DON’T BLOG AND OTHER STORIES: WHY SCOPUS USES SUBJECT AREA BENCHMARKS"

- 2.4M publications indexed by Scopus with a publishing data of 2014 - Citation, Altmetric and Mendeley data sampled in September 10, 2015. - Alternative metric data collated into four buckets, as defined by Snowball Metrics: - Social Activity (Twitter, Facebook, Reddit and Google+. - Scholarly Activity (Mendeley and Citeulike). - Scholarly Commentary (blogs, Wikipedia, F1000 Prime, Pubpeer, etc. - Mass media. - Publications’ data assigned to the journals’ Scopus / ASJC mid-tier subject code (many to one relationship – no fractional counting, total publications for all buckets same as given in ‘Citation’). - Counts classified into three groups – no activity (pale pink), 1 count per publication (red), 2 or more counts (green).

- 本数据集包含240万篇2014年出版、被斯高帕斯数据库(Scopus)收录的学术文献，其引用数据、替代计量指标(Altmetric)数据及曼德雷莱(Mendeley)数据均采样自2015年9月10日。
- 按Snowball Metrics的定义，替代计量指标数据被整理为四类分桶：
- 社交活动类：覆盖Twitter、Facebook、Reddit及Google+；
- 学术活动类：覆盖Mendeley与Citeulike；
- 学术评论类：涵盖博客、维基百科、F1000 Prime、PubPeer等；
- 大众媒体类。
- 文献数据被分配至期刊对应的Scopus/全科学期刊分类体系(ASJC)中层主题分类代码，采用多对一映射关系且不进行分数计数，所有分桶的文献总数与"引用"字段中给出的总文献数一致。
- 计数结果被分为三类：无活动（浅粉色）、单篇文献对应1次计数（红色）、2次及以上计数（绿色）。