Database offers on-the-fly results.
A new Internet database lets users generate on-the-fly citation statistics of published research papers for free. The tool also calculates papers' impact factors using a new algorithm similar to PageRank, the algorithm Google uses to rank web pages. The open-access database is collaborating with Elsevier, the giant Amsterdam-based science publisher, and its underlying data come from Scopus, a subscription abstracts database created by Elsevier in 2004.
The SCImago Journal & Country Rank database was launched in December by SCImago, a data-mining and visualization group at the universities of Granada, Extremadura, Carlos III and Alcalá de Henares, all in Spain. It ranks journals and countries using such citation metrics as the popular, if controversial, Hirsch Index. It also includes a new metric: the SCImago Journal Rank (SJR).
The familiar impact factor created by industry leader Thomson Scientific, based in Philadelphia, Pennsylvania, is calculated as the average number of citations by the papers that each journal contains. The SJR also analyses the citation links between journals in a series of iterative cycles, in the same way as the Google PageRank algorithm. This means not all citations are considered equal; those coming from journals with higher SJRs are given more weight. The main difference between SJR and Google's PageRank is that SJR uses a citation window of three years. See Table 1 ·
Sergei Maslov, and S. Redner. (2009)cite arxiv:0901.2640
Comment: 3 pages, 1 figure, invited comment for the Journal of Neuroscience.
The arxiv version is microscopically different from the published version.
Ricardo Baeza-Yates, Paolo Boldi, and Carlos Castillo. SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, page 308--315. New York, NY, USA, ACM Press, (2006)