New tool measures article usage in fast-track open access journal
Melville, NY, June 21, 2011 — AIP Publishing, a division of the American Institute of Physics (AIP), announces the launch of article-level metrics for its new, open access journal AIP Advances (http://aipadvances.aip.org/). The COUNTER 3-compliant tool measures abstract and full-text article views and offers a graphical snapshot of cumulative usage of both, beginning with the date the article is published online.
“AIP Advances represents the next generation in physical sciences publishing,” said John Haynes, vice president of publishing at AIP. “We will continue to create tools that stimulate dialogue between our readers and authors and to promote research evaluation and analysis that is meaningful to the physical sciences community.”
By focusing on individual research papers, independently from the journals in which they are published, article-level metrics, such as those now available on AIP Advances, allow papers to be judged on their own scientific merit. They provide a measure of an article’s influence over time as the usage accrues. Together with existing community-driven features already available on AIP Advances, such as post-publication reader commentary and article ratings assessing impact, presentation, and reliability, article-level metrics offer researchers and readers new ways to identify research that will be of value to them.
“With its mission dedicated to the advancement of physics, AIP is continually looking for new ways to enhance the flow of information throughout the physical science community and to help authors get the recognition their work deserves,” said Mark Cassar, publisher, AIP journals.
AIP Advances is a fast-track, community-led open access journal, focusing on applied research in the physical sciences. All articles are published under a Creative Commons license; authors pay to have their research published and made freely available worldwide and retain copyright for their work. AIP Advances debuted on March 1, 2011. The second issue is currently in progress, and will include among its articles, “Hidden temporal order unveiled in stock market volatility variance,” by Y. Shapira, D. Y. Kenett, Ohad Raviv, and E. Ben-Jacob. A partial table of contents can be found at http://aipadvances.aip.org/resource/1/aaidbi.