We apply sophisticated machine-learning algorithms to accurately match, group, and categorize millions of products. The Scientific Score accounts for these categorizations, as each product’s score is calculated relative to those in the same category. The result is a rating system that scientists can trust — one that is specific to both product application and product type.
Standard product ratings are useful to assess products quickly, but are often biased and unreliable, due to their reliance on unknown reviews or a single metric (e.g. publications). They also provide little detail on experimental context or application.
The Scientific Score utilizes a scientific methodology to objectively and comprehensively evaluate research products. It combines all necessary and relevant product information into a single 0–10 rating to support our customers in deciding which product to buy and use for their application — saving hours of product research.
To ensure no single factor dominates, we add cut-off points and give more weight to recent contributions. The sheer number of factors we take into account virtually eliminates any opportunity for manipulation. As a result, our score is an objective measure of the quality and quantity of available product information, which supports our customers’ purchasing decisions.
Scientists, suppliers, and ZAGENO all contribute to the Scientific Score, providing:
Each contribution is then weighted based on its importance to the scientist to give a truly meaningful product rating.
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