| Also: I still haven't heard (from either you or the previous parent poster) how journal impact factor can possibly be justifiable as a metric for relevance. Anyone surveying the actual citation distributions at major journals will immediately note that a metric assuming near-normality cannot possibly summarize non-normal distributions of citations. The latter describes nearly all journals, thus even if JIF were not manipulable by stacking, self-citation, and negotiated exclusion of items to decrease the denominator, it would still suck. https://quantixed.wordpress.com/2016/01/05/the-great-curve-i... Look carefully at the details! This metric is among the most frequently emphasized by researchers who comprise study sections, and it is objectively terrible. I'm not whining "just because" -- many of the lines in my CV end with NEJM, Nature, or Cell (no Science paper yet). I'm saying that at least one of the commonly accepted metrics for individual investigators is broken. That sort of detail corrupts the entire rest of the system. I'm also not saying that a direct public-facing system wouldn't have huge potential problems (although it is nice to see attempts like experiment.com seemingly doing OK, and the funders realizing, hey, there are a lot of shades of gray between "utter bullshit" and "exactly the right experimental design for the question being asked"). One of the nice things about talking directly with folks at NIH, for example, is that they recognize there are serious issues with the incentives in place. If they are willing to collect the data and evaluate (publicly, e.g. in Chalk Talk postings) the findings, doesn't that suggest room for the current system to improve? |