Displaying posts tagged with

“metrics”

Estimating how much we don’t know

Or: “Estimating how much we don’t know, and how much it can hurt us”. This post is about a paper I published recently with Predrag Radivojac’s group at Indiana University, who lead the study. One of the main activities I’m involved with is CAFA,* the critical assessment of function annotations.   The general idea of CAFA […]

Taming the Impact Factor

Quite a bit has been written about how the journal impact factor (JIF) is a bad metric. The JIF is supposed to measure a journal’s impact using a formula that normalizes the number of cited articles in  a given time frame (typically a year). It is calculated exclusively by Thomson-Reuters, and is trademarked by this […]