Axel Vachon - French writer. Article "Axel Vachon" in French Wikipedia has 8.9 points for quality (as of August 1, 2024). The article contains 2 references and 3 sections.
Since the creation of article "Axel Vachon", its content was written by 17 registered users of French Wikipedia and edited by 17 registered Wikipedia users in all languages.
The article is cited 7 times in French Wikipedia and cited 7 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 August 1, 2024 (including revision history and pageviews for previous years).
| Best Rank | French: #501551 11.2015 |
Global: #4252064 05.2009 |
| Best Rank | French: #39676 01.2023 |
Global: #733291 04.2009 |
On 1 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Donald Trump, Marianne Faithfull, O. J. Simpson, Neymar, Israel Adesanya, Nassourdine Imavov, Royal Rumble (2025): The Death of Professional Wrestling, Elon Musk, Karla Sofía Gascón, Emilia Pérez.
In French Wikipedia the most popular articles on that day were: Patricia Kaas, Chandeleur, Louane, Maria Callas, Bob Dylan, Zaz (chanteuse), Marianne Faithfull, Florence Arthaud, Nassourdine Imavov, Yannick Alléno.
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 August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.65+1.05+5.26+11.54+22.2)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
