In accordance with Article L111-7 and Article D111-7 of the French Consumer Code, ALVISS.AI wishes to inform
you through this section of the methods by which content, services or products may be referenced or
dereferenced on its services, as well as the criteria that may influence the ranking in the results pages.
Referencing, dereferencing and ranking methods
Alviss.ai aims at indexing references of publications regarding any topic from any scientific journal
including preprints and scientific blogs of high quality. Sources include Pubmed, Arxiv, Biorxiv, Medrxiv,
Twitter and many others. It filters out predatory journals. You
can ask to be referenced or dereferenced using the Contact form.
The PaperRank algorithm analyzes the feedback publications have on the Alviss platform and the Web in general
including social media and citations in other publications. When the feedback is positive the rank of the
publication improves. Ranking is applied in the search engine and home page content.
The ranking of the results during a search is carried out automatically by an algorithm,
by default according to the relevance of the contents calculated in a relative way through a multitude of
criteria. These criteria include in particular the popularity of the publication on the Alviss.ai platform,
the Web in general, social media, the age of the publication and it's accessibility.
No commercial agreement influences the calculation of relevance and therefore the ranking of a publication
in search results.
The Home page shows condensed new paper information with horizontal navigation to appreciate new content at a
glance. Upon click you will get deeper into the site with more information displayed vertically.
Your domains section
There are displayed recent publications Alviss found for the you. Alviss uses algorithms and tries to guess
the content you might like based on your activity on the Alviss platform.
For example if you liked (clicked on a button) a publication
Alviss will try to
find similar recent content and put it in the section Your domains. When you are not logged in and the
Your domains section will display random quality publications.
Your keywords section
The publications in this section have been selected whenever they contain keywords you entered in your
Profile (see section Profile Information). If you entered no keywords this section will be
hidden. The latest publications come first!
Ever wanted to know which publications everybody is talking about right now? They will appear in this
Trending section and ranked by their popularity on Alviss.ai and social media.
It is possible to sponsor content displayed and advertize on the platform. Sponsored content will be
displayed on the Home page in a dedicated section called Sponsored. Ads have an
"Ad" mark. Sponsored content has a "Sp" mark.
Relevance reflects the traction of topics contained in an article in today`s debate.
Originality represents the rarity of topics studied by an article in previously published literature.
Methodology increases when articles used characteristics associated with higher level of evidence, such as randomized trial or meta-analysis.
H-index is the maximum value of h such that the given author/journal has published at least h papers that have each been cited at least h times.
Aldex (Alviss index) is the maximum value of a such that the given author/journal has published at least a papers that have each been cited at least a times wighted by the duration since publication and positiveness of the feedback.
Influence represents the breadth of experts' network.
Leadership reflects the number of people under experts' management as per their published work.