Can We Count on Social Media Metrics? First Insights into the Active Scholarly Use of Social Media

被引:5
作者
Mehrazar, Maryam [1 ]
Kling, Christoph Carl
Lemke, Steffen [1 ]
Mazarakis, Athanasios [2 ]
Peters, Isabella [1 ]
机构
[1] ZBW Leibniz Informat Ctr Econ, Kiel, Germany
[2] Univ Kiel, Kiel, Germany
来源
WEBSCI'18: PROCEEDINGS OF THE 10TH ACM CONFERENCE ON WEB SCIENCE | 2018年
关键词
social media; digital scholarship; altmetrics; motivations; WEB; 2.0; ALTMETRICS; CORRELATE;
D O I
10.1145/3201064.3201101
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Measuring research impact is important for ranking publications in academic search engines and for research evaluation. Social media metrics, or altmetrics, measure the impact of scientific work based on social media activity. Altmetrics are complementary to traditional, citation-based metrics, e.g. allowing the assessment of new publications for which citations are not yet available. Despite the increasing importance of altmetrics, their characteristics are not well understood: Until now it has not been researched what kind of scholars are actively using which social media services and why - important questions for scientific impact prediction. Based on a survey of 3,430 scientists, we uncover previously unknown and significant differences between social media services: We identify services which attract young and experienced researchers, respectively, and detect differences in usage motivations. Our findings have direct implications for designing future altmetrics for scientific impact prediction.
引用
收藏
页码:215 / 219
页数:5
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