![]() Our results help understand how altmetrics can complement citation counts, and which represent proxy metrics that indicate the immediate impact of a paper as well as future citations. Namely, we conducted an empirical study to understand whether altmetrics correlate with citation counts and how they have evolved over time. In this paper, we complement current research by studying the altmetrics of 18,360 papers published at 16 publication venues of the computer science domain. Altmetrics are based on user interactions in the internet and especially social-media platforms, promising a faster accumulation and to represent scientific impact on other parts of society. To overcome such limitations, researchers investigate and propose altmetrics to complement or provide a more meaningful alternative to traditional metrics. Moreover, such metrics require time to accumulate and do not represent the scientific impact outside of academia, for instance, on industry. Particularly citation counts, and metrics that build on these (e.g., impact factor, h-index), are widely used, despite extensive and rightful criticism regarding, for instance, their meaning, value, and comparability. Researchers, funding agencies, and institutions involve bibliographic data to assess the impact or reputation of papers, publication venues, researchers, and institutions. ![]()
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