While higher rates of endogeny can help indexes identify journals being used for self-promotion, nepotism, or other unethical ends, endogeny itself should not be equated with them and can be the result of a narrow or new field of research.
Thoughts on Elsevier’s acquisition of Plum Analytics.
It is now conference season, which for me means lots and lots of editorial board meetings. The next swing comes in the fall when the fiscal year comes to a close. With 35 journals in the American Society of Civil […]
Businesses are using more data than ever to inform decision making. While the truly large Big Data may be limited to the likes of Google, Amazon, and Facebook, publishers are nonetheless managing more data than ever before. While the technical challenges may be less daunting with smaller data sets, there remain challenges in interpreting data and in using it to make informed decisions. Perhaps the most daunting challenge is in understanding the limitations of the dataset: What is being measured and, just as importantly, what is not being measured? What inferences and conclusions can be drawn and what is mere conjecture? Where are the bricks and mortar solid and where does the foundation give way beneath our feet?
Expert ratings have poorer predictive power than journal citation metrics, study reveals.
Scientists appear to be reading more AND citing less. Are these two findings compatible?