Article "Loi de l'impôt sur le revenu du Canada" in French Wikipedia has 3.7 points for quality (as of August 1, 2024). The article contains 0 references and 4 sections.
Since the creation of article "Loi de l'impôt sur le revenu du Canada", its content was written by 15 registered users of French Wikipedia and edited by 15 registered Wikipedia users in all languages.
The article is cited 5 times in French Wikipedia and cited 5 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: #119962 02.2008 |
Global: #1375244 02.2008 |
| Best Rank | French: #12909 11.2004 |
Global: #175259 11.2004 |
On 3 October 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Lyle and Erik Menendez, Sean Combs, Joker: Folie à Deux, Israel, Jimmy Carter, Lebanon, Hezbollah, Marburg marburgvirus, Rosh Hashanah, Eminem.
In French Wikipedia the most popular articles on that day were: Sur la trace de la chouette d'or, Bob Sinclar, Lyle et Erik Menéndez, Sean Combs, Michel Barnier, Jocelyne Wildenstein, Ayyoub Bouaddi, Aurore Bergé, Bruno Retailleau, Jimmy Carter.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.12+0+0+15.38+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
