|Title||IBS Research Highlights & Analysis Published|
|Name||Department of Communications||Registration Date||2016-12-15||Hits||1708|
IBS Research Highlights & Analysis Published
In celebration of its 5th anniversary, IBS has published IBS Research Highlights & Analysis, a compilation of complete reports on the findings of research projects conducted by IBS Research Centers. The report is comprised of two parts: (1) Research Highlights 25; and (2) Research Analysis.
IBS has selected 25 best research findings in consultation with IBS research advisors. Among the 25 selection, highlights vary from the fundamental research that serves as a breakthrough for relevant research topics and to findings that can be applicable to clinical treatments for diseases: a method to sequence the very end of mRNA molecules that may discover unforeseen features of RNA cleavage and tailing; a wearable electronic skin to monitor and control blood sugar levels, based on graphene synthesized through a chemical vapor deposition (CVD) process; and the real-time observation of chemical bonding on an atomic level. The report used features such as graphics and images to illustrate the concept and significance of concerned research findings.
IBS President KIM Doochul noted, "The 25 highlights, among a number of research findings from 26 Centers, are the best of the best research results that IBS researchers' scientific curiosity has produced. We are witnessing the increase of interdisciplinary research that transcends fields of study. "
The Research Analysis indicates that IBS has achieved the excellence of research based on Thomson Reuters data: IBS' HCP (Highly Cited Papers) was 5. 29%, higher than that of MPI and RIKEN; and its CNCI (Category Normalized Citation Impact)* doubled the world's average despite the relatively small number of papers compared to other global research institutions.
The English issue of the IBS Research Highlights & Analysis will be published in the mid of February 2017.
* The Category Normalized Citation Impact (CNCI) of a document is calculated by dividing the actual count of citing items by the expected citation rate for documents with the same document type, year of publication and subject area.