Group items tagged

from the abstract: "assessing the influence of spatial proximity between scientists is crucial to promote efficient collaboration strategies and, ultimately, to improve the quality of science. Here we present a systematic analysis of citation and collaboration streams between cities and countries. By assigning papers to the geographic locations of their authors' affiliations, we construct weighted networks of citations and collaborations. The citation flows as well as the collaboration strengths between cities decrease with the distance between them and follow gravity laws with exponents close to 1. Moreover, for a given number of authors, the diversity of affiliations increases the number of citations, especially when many countries are represented. In addition, the total research impact of a country grows linearly with the amount of national funding for research & development. However, the average impact reveals a peculiar threshold effect: the scientific output of a country may reach an impact larger than the world average only if the country invests more than 120,000 US $ per researcher annually. Our results reveal the overall structure of scientific research by showing the correlation between collaboration, citation, geography and funding, and could provide valuable inputs in shaping the future science policies."

Acyclic digraphs arise in many natural and artificial processes. Among the broader set, dynamic citation networks represent a substantively important form of acyclic digraphs. For example, the study of such networks includes the spread of ideas through academic citations, the spread of innovation through patent citations, and the development of precedent in common law systems. The specific dynamics that produce such acyclic digraphs not only differentiate them from other classes of graphs, but also provide guidance for meaningful distance measures for these networks. We apply our sink based distance measure and the single-linkage hierarchical clustering algorithm to the first quarter century of decisions of the United States Supreme Court. Despite applying the simplest distance measure and a straight forward clustering algorithm, qualitative analysis reveals that accurate clusterings are produced by this scheme.

Scholarometer(beta) is a social tool to facilitate citation analysis and help evaluate the impact of an author's publications. Developed at Indiana University School of Informatics and Computing

"As more sources for citation information have become available - even many scholarly databases today offering cited reference data - the need to identify, access and manage these resources is becoming acute. Information professionals need to become more proactive in their strategies to support these applications and users. .."

The impact of scientific publications has traditionally been expressed in terms of citation counts. However, scientific activity has moved online over the past decade. To better capture scientific impact in the digital era, a variety of new impact measure

Digital Library (DL) interoperability requires addressing a variety of issues associated with functionality. We report on the analysis and solutions identified by the Functionality Working Group of the DL.org project during its deliberations on DL interoperability. Ultimately, we hope that work based on our perspective will lead to improved architectures and software, as well as to greater interoperability, for next-generation DL systems.

'The established dogma is that freely-available scientific articles are cited more because they are read more,' said Davis. 'We found that openaccess publishing may reach more readers than subscription-access publishing, but there is no evidence that free

a model proposed for health science info

Usage data, still an active research area, can address many shortcomings of citation analysis. A state-of-the-art in usage-based informetrics, the article can inspire the development of usage metadata for DPLA system. .