Microsoft Academic automatic document searches: Accuracy for journal articles and suitability for citation analysis
作者：
Highlights：
• The optimal strategy to find articles with DOIs is to search by title and filter out incorrect DOIs.
• The optimal strategy to find articles without DOIs is to search by title and filter out dissimilar metadata.
• Scopus citation counts and Microsoft Academic counts have an average Spearman correlation of 0.95.
• Microsoft Academic citation counts are almost universally equivalent to Scopus citation counts for some years.
摘要
•The optimal strategy to find articles with DOIs is to search by title and filter out incorrect DOIs.•The optimal strategy to find articles without DOIs is to search by title and filter out dissimilar metadata.•Scopus citation counts and Microsoft Academic counts have an average Spearman correlation of 0.95.•Microsoft Academic citation counts are almost universally equivalent to Scopus citation counts for some years.
论文关键词：Microsoft Academic,Citation analysis,Article-level citation analysis,Scientometrics
论文评审过程：Received 18 September 2017, Revised 4 November 2017, Accepted 8 November 2017, Available online 22 November 2017, Version of Record 22 November 2017.
论文官网地址：https://doi.org/10.1016/j.joi.2017.11.001
