Science-Metrix develops and employs methods that are at the frontier of bibliometrics. Using customized versions of several bibliometric databases, we apply best practices in scientometrics and technometrics, and contribute to the body of knowledge that determines what those best practices should be. As such, we know the limits of our methods and approach them critically.
In addition to paper and patent counts, our science and research metrics draw on citation analysis, social network analysis and scale-free models. The following list of indicators are commonly computed and offered by Science-Metrix. Other indicators are developed to respond to specific questions. We are constantly improving our set of bibliometric indicators to best answer our clients’ needs.
MAIN BIBLIOMETRICS INDICATORS
Number of papers published in peer-reviewed journals or number of patents granted
Number of papers or patents weighted per capita or by investment levels
A measure of the research intensity of an entity in a given area relative to a reference entity in the same area
An indicator of the observed impact of an entity calculated from citation counts
An indicator of expected impact based on the journals in which papers are published
International and inter-institutional collaboration rate
Proportion of papers or patents with at least one co-author from abroad or from another organization
Collaboration networks that illustrate scientific collaboration patterns between countries, organizations or researchers
MEASUREMENT OF ACTIVITIES IN SPECIFIC AREAS
Science-Metrix utilizes and develops advanced methods to delineate and measure research activities in very specific or emerging scientific fields. Our expert analysts have developed unique tools to enable the production of statistics on scientific and technological domains not yet defined by existing classification systems.