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240万篇由Scopus收录的2014年出版的学术文献，其被引数据、替代计量指标 (Altmetric) 与Mendeley数据的采样时间为2015年9月10日。 - 按照Snowball Metrics的分类标准，替代计量数据被整合为四大类别： - 社交活动：涵盖Twitter、Facebook、Reddit与Google+ - 学术活动：包含Mendeley与Citeulike - 学术评论：包括博客、维基百科、F1000 Prime、PubPeer等 - 大众媒体 - 文献数据将依据期刊所属的Scopus/ASJC中层主题代码进行分类，该分类存在多对一映射关系，且不采用分数计数规则，所有类别下的文献总数与“被引数据”项下的文献总数保持一致。 - 指标计数被划分为三组：无任何活动（浅粉色）、单篇文献1次计数（红色）、2次及以上计数（绿色）。