A rich and diverse set of potential bibliometric and scientometric predictors of research performance quality and importance are emerging today — from the classic metrics (publication counts, journal impact factors and individual article/author citation counts) to promising new online metrics such as download counts, hub/authority scores and growth/decay chronometrics. In and of themselves, how...

Ž . It is often argued that interdisciplinary research is valued less in both qualitative peer-review based as well as in Ž . quantitative bibliometric assessments. A recent extensive, nation-wide evaluation of all academic physics groups in the Netherlands allowed us to investigate this problem empirically. Therefore, we first developed an operationalization of ‘interdisciplinarity’. On the ba...

This study gives an overview of the process of clustering scientific disciplines using hybrid methods, detecting and labelling emerging topics and analysing the results using bibliometrics methods. The hybrid clustering techniques are based on biblographic coupling and text-mining and ‘core documents’, and cross-citation links are used to identify emerging fields. The collaboration network of t...

This chapter provides an introduction into the topic of visualizing bibliometric networks. First, the most commonly studied types of bibliometric networks (i.e., citation, co-citation, bibliographic coupling, keyword co-occurrence, and co-authorship networks) are discussed, and three popular visualization approaches (i.e., distance-based, graph-based, and timeline-based approaches) are distingu...

Italy adopted a performance-based system for funding universities that is centered on the results of a national research assessment exercise, realized by a governmental agency (ANVUR). ANVUR evaluated papers by using “a dual system of evaluation”, that is by informed peer review or by bibliometrics. In view of validating that system, ANVUR performed an experiment for estimating the agreement be...

The scientific impact of a publication can be determined not only based on the number of times it is cited but also based on the citation speed with which its content is noted by the scientific community. Here we present the citation speed index as a meaningful complement to the h index: whereas for the calculation of the h index the impact of publications is based on number of citations, for t...

The data of F1000 and InCites provide us with the unique opportunity to investigate the relationship between peers’ ratings and bibliometric metrics on a broad and comprehensive data set with high-quality ratings. F1000 is a post-publication peer review system of the biomedical literature. The comparison of metrics with peer evaluation has been widely acknowledged as a way of validating metrics...

According to current research in bibliometrics, percentiles (or percentile rank classes) are the most suitable method for normalising the citation counts of individual publications in terms of the subject area, the document type and the publication year. Up to now, bibliometric research has concerned itself primarily with the calculation of percentiles. This study suggests how percentiles can b...

Introduction Traditionally, biomedical research is measured by bibliometric indicators of scientific production and impact (such as number of publications and hindex) and indicators linked to clinical trial activities (Pozen & Kline, 2011). However, there has been an increasing demand in the last few years to measure the impact of medical research in terms of how it improves patients’ well-bein...