The Development of a Webometric Criterion for Ranking Researchers

Abstract

This paper explores the possibility of extracting scientometric data from social media. Basic approaches to typification and classification of altmetrics are presented. The advantages and disadvantages of using altmetrics as scientometric indicators are investigated. The concept of webification of bibliometric indicators is introduced. Several examples of webometric indicators are discussed. Webometric indicators are designed to evaluate academic performance of researchers. A new criterion is introduced for the use in the performance-based ranking of researchers. This criterion applies webometric indicators that are calculated on the basis of altmetrics.