Towards full-text based research metrics: Exploring semantometrics

Herrmannova, Drahomira and Knoth, Petr (2016). Towards full-text based research metrics: Exploring semantometrics. Jisc Repository; Jisc.



Over the recent years, there has been a growing interest in developing new scientometric measures that could go beyond the traditional citation-based bibliometric measures. This interest is motivated on one side by the wider availability or even emergence of new information evidencing research performance, such as article downloads, views and Twitter mentions, and on the other side by the continued frustrations and problems surrounding the application of citation-based metrics to evaluate research performance in practice.

This document reports on the analysis carried out with the aim to investigate the properties of the semantometric contribution measure (Knoth & Herrmannova, 2014). In particular, we provide a comparative evaluation of the semantometric contribution measure alongside citation counting. Our analysis also focuses on the potential application of semantometric measures in large databases of research papers, for example the Open Access research articles aggregation system CORE.

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