- Researchers interested in an academic career, beware! Apparently, in recent years, it's become popular for universities to evaluate prospective hires based on their "h-index," which reflects both the number of publications and the number of citations per publication. However, a recent study has shown that current mathematical models that predict a scientist's future performance based on their past performance aren't reliable and shouldn't be used in career advancement decision processes. [url]
- Getting depressed because you can't get funding? Don't Despair... A study has found that grant size doesn't strongly predict a researcher's scientific impact. [url]
- Traditional metrics used to gauge a researcher's scientific impact are inadequate, since they typically assume that all co-authors of a paper contribute equally to the work. Now researchers are proposing a new metric that takes into account the relative contributions of all co-authors to establish a more rational way of determining a researcher's scientific impact. [url]
- This takes the cake: A new study has found that scientists are terrible at judging the importance of other researchers' publications. Apparently, scientists rarely agree on the importance of a paper and are strongly biased by what journal the paper is published in. Also, the number of times a paper is cited has little relation to its actual scientific merit. [url]
stories filed under: "merit"
by Joyce Hung
Mon, Nov 11th 2013 5:00pm
How do you measure the impact of a scientist's research? Some common metrics include the number of publications in peer-reviewed and high-impact journals, the number of citations, etc. But it's more complicated than just using the quantity and quality of a scientist's peer-reviewed publications to determine their significance in the scientific community. Here are a few more things to consider.