When researchers choose reagents, tools, kits, instruments, equipment, and other products for
their life science experiments, they look to the stars…the Bioz Stars…the world’s only trusted and
objective confidence scores for life science products.
Bioz has developed the Bioz vStars scoring
algorithm for products that have not yet been
mentioned in articles.
With Bioz vStars for uncited (not mentioned in
articles) products complementing Bioz Stars for
cited (mentioned in articles) products,
researchers visiting Bioz.com can now view the
full range of products that a vendor offers,
whether or not a product was previously
mentioned in articles.
Thousands of new articles are published every day, which means that products that currently have
a Bioz vStars score could receive a new mention in an article. The Bioz A.I. algorithm checks newly
published articles for new product mentions, and if it finds a current Bioz vStars product, it will
transition its score to a Bioz Stars score.
The Bioz vStars algorithm assigns scores to products that have not been mentioned in articles on
the following 100-point scale:
- 95-100 Excellent (a top selection)
- 90-94 Great
- 85-89 Very good
- 80-84 Good
- 75-79 Mediocre
- 01-74 Not recommended
The Bioz vStars scoring system is different from the Bioz Stars scoring system, in that a Bioz Stars
score represents article mentions of a single product, whereas a Bioz vStars score represents the
average of all of the Bioz Stars scores of a vendor’s products.
Bioz vStars algorithmic scores are multi-parameter data-driven scores that are based on multiple
weighted parameters/factors. The core parameter is the average Bioz Stars score of all of a
vendor’s cited products. The primary factors include:
- Mentions Average (number of mentions of all of a vendor’s products on Bioz)
- Recency Average (recency of all of a vendor's products on Bioz)
- Impact Factor Average (Impact Factor of all of a vendor’s products on Bioz)
- Unique Mentions (number of unique product mentions on Bioz for the vendor)
- vStar Count (number of uncited products that a vendor has on Bioz)
- Vendor Size (Annual revenue of a public company)
- Vendor Age (year vendor was established)
- Search Frequency (the number of times a vendor appeared in Bioz search results)
- Product Preference Depth (product details page visits)
- Quick-View Interest (quick-view visits)
- Vendor Button Clicks (vendor button click frequency)
- Score Normalization (relative to category)
- Score Standardization (relative to category)
- Manufacturer Factor (original manufacturer weighting adjustment)
The industry standard for selecting products
Over a million life science researchers in academia and biopharma use Bioz to make decisions on
which products to purchase for their experiments.
The top life science tool vendors are displaying Bioz Stars scores on their websites, with hundreds
more rapidly adopting Bioz Stars to highlight that their products have been used successfully by
life science researchers in academia and biopharma.
The Bioz vStars scoring algorithm uses advanced A.I. technology that is backed by 3 Nobel Prize
winners, mathematicians, A.I. & data science experts from Google, and the former CTO of
Bioz is the world’s most objective and trusted recommendation engine for life science products.
Frequently asked questions
How do Bioz vStars help you select the best tools, reagents, lab equipment, assays, etc.?
Bioz vStars scores guide you towards the best products and tools to purchase for your life science
experiments, with the number of stars indicating the likelihood that an uncited product will work
well in your experiment. A product with a high Bioz vStars score is a product from a vendor that
has a large number of cited products that were used frequently and recently. By selecting
products with high Bioz vStars scores, you will be increasing the likelihood that your experiments
will be successful..
Are Bioz vStars scores objective?
Yes, Bioz vStars scores are 100% objective, and have ZERO BIAS™. The stars are calculated using a
sophisticated multi-parameter mathematical model, with all uncited products and tools evaluated
based on the same objective set of criteria. We don’t use any human-generated reviews, as they
are inherently biased. Because Bioz vStars scores are based on the measured average usage of a
vendor’s cited products, as documented in peer-reviewed published life science articles, you are
getting a direct glimpse into which vendors have the largest number of products that worked well
for other researchers.
Are vendors able to influence the vBioz Stars scores of their products?
The Bioz vStars scoring algorithm cannot be influenced by outsiders, whether they be researchers
or vendors, period! At Bioz, all products, tools, reagents, kits, lab instruments, and lab equipment
are treated equally. We don’t play favorites, and life science tool vendors can’t pay us to improve
their Bioz Stars scores. The scores are never artificially altered or boosted; in particular, the scores
can neither be influenced nor altered as a result of payment of fees, sponsorship, advertising, or
other forms of payment. Objectivity and elimination of bias is our goal. ZERO BIAS™ is at the core
Does Bioz publish the details of how Bioz vStars scores are calculated?
The core factors that the Bioz vStars scoring algorithm takes into account are detailed above. We
don’t share the inner-workings of the algorithm so that we can maintain the neutrality and
integrity of Bioz vStars scores. Moreover, we do not disclose the weights that we assign to each
factor, so that it isn’t possible to boost scores by “gaming the system” to gain an unfair advantage.
Why does a product have a Bioz vStars score and not a Bioz Stars score?
Bioz vStars scores are based on the assumption that if a vendor has high-quality products that are
mentioned (cited) in articles, then it is likely that its other products will also be high-quality. Bioz
vStars scores guide researchers in their product evaluation process when a product doesn’t have
any article mentions, and therefore, a Bioz Stars score is not associated with it. A product may not
have any article mentions due to one or more of the following reasons: (1) it is a new product, (2)
it is rarely used, (3) it is the type of product that researchers do not typically mention in articles.
Bioz vStars scores provide a snapshot assessment, and should be considered alongside other
information, including Bioz’s unique experimentation insights, that have been identified and
structured from within life science articles.