Affinité - Wikimedia disambiguation page. Article "Affinité" in French Wikipedia has 12.3 points for quality (as of November 1, 2023). The article contains 2 references and 10 sections.
Since the creation of article "Affinité", its content was written by 42 registered users of French Wikipedia and edited by 42 registered Wikipedia users in all languages.
The article is cited 14 times in French Wikipedia and cited 14 times in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | French: #46149 06.2010 |
Global: #638480 11.2010 |
| Best Rank | French: #24626 04.2011 |
Global: #486646 04.2011 |
On 23 April 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: YouTube, Serie A, Shōgun, Fallout, Facebook, Fallout, Saint George, Saint George Day, Inter Milan, ChatGPT.
In French Wikipedia the most popular articles on that day were: Saison 1 de Secret Story, Kendji Girac, Cookie (informatique), Stillwater (film), Sabine Azéma, André Dussollier, Secret Story, Mouloudia Club d'Alger (football), YouTube, Saison 12 de Secret Story.
The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(6.85+1.06+0+38.46+15.22)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
