Evaluating scientific quality is a notoriously difficult problem which has no standard solution. Ideally, published scientific results should be scrutinized by true experts in the field and given scores for quality and quantity according to established rules. Journal impact is usually a synonym for Impact Factors and other scores based on the average number of citations received by a particular journal in a particular period. Journal impact is not an indicator of the quality of individual studies published in that journal. The Scholarly Kitchen brought this interesting information to our attention in their article, “How Related are Journal Impact and Research Impact?“
Most researchers acknowledge an intrinsic hierarchy in the scholarly journals to which they submit their work and adjust not only their submission but also their reading strategies accordingly. On the other hand, much has been written about the negative effects of institutionalizing journal rank as an impact measure.
Whatever the impact, at the end of the day, content needs to be findable, and that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative, and precise semantic discovery of your new and emerging concepts, to help you find the information you need when you need it.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.