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Michael Kurtz from the Harvard-Smithsonian Center for Astrophysics has been publishing on the research metrics subject

new perspective in journal metrics from Elsevier

Three questions dominated the event: re-ingineering scholarly communications (a scholarly article, metrics, and a journal), future of faculty portfolio and reproducibility of research

web service that collects all scientific articles published by an author and displays their aggregate article-level metrics. ScienceCard allows a researcher to create and maintain a researcher profile with minimal effort, and to export and reuse this information elsewhere.

A review of new scholarly publishing metrics and how they compare to traditional impact measures.

Abstract: "Traditionally, scholarly impact and visibility have been measured by counting publications and citations in the scholarly literature. However, increasingly scholars are also visible on the Web, establishing presences in a growing variety of social ecosystems. But how wide and established is this presence, and how do measures of social Web impact relate to their more traditional counterparts? To answer this, we sampled 57 presenters from the 2010 Leiden STI Conference, gathering publication and citations counts as well as data from the presenters' Web "footprints." We found Web presence widespread and diverse: 84% of scholars had homepages, 70% were on LinkedIn, 23% had public Google Scholar profiles, and 16% were on Twitter. For sampled scholars' publications, social reference manager bookmarks were compared to Scopus and Web of Science citations; we found that Mendeley covers more than 80% of sampled articles, and that Mendeley bookmarks are significantly correlated (r=.45) to Scopus citation counts. " "Accepted to 17th International Conference on Science and Technology Indicators, Montreal, Canada, 5-8 Sept. 2012."

Attempts at gaming Google Scholar's metrics with fake papers, but frustrations reported with Scholar's lack of transparency

"Conclusion. After accounting for other factors affecting citation rate, we find a robust citation benefit from open data, although a smaller one than previously reported. We conclude there is a direct effect of third-party data reuse that persists for years beyond the time when researchers have published most of the papers reusing their own data. Other factors that may also contribute to the citation benefit are considered. We further conclude that, at least for gene expression microarray data, a substantial fraction of archived datasets are reused, and that the intensity of dataset reuse has been steadily increasing since 2003."

A review of a declaration signed by ACSB and other participants which urges consideration of research metrics beyond the journal impact factor.

Main objectives To expand the current understanding of the complex system of interconnections and knowledge flows between science and its domains of application; To design and develop databases, sophisticated measurement models, metrics and quantitative indicators...

By Jason Priem, Bradely H. Hemminger

What is the real impact of your research

questioning of citation counts and research metrics

comparison of article metrics