Lectures pour tous - Wikimedia disambiguation page. Article “Lectures pour tous” in French Wikipedia has 0.1 points for quality (as of July 1, 2025).
Since the creation of article “Lectures pour tous”, its content was written by 6 registered users of French Wikipedia and edited by 6 registered Wikipedia users in all languages.
The article is cited 4 times in French Wikipedia and cited 4 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | French: #196399 06.2011 |
Global: #2115556 06.2011 |
| Best Rank | French: #69994 08.2009 |
Global: #757132 06.2009 |
On 12 August 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Cristiano Ronaldo, Wednesday, Georgina Rodríguez, ChatGPT, Weapons, Jenna Ortega, deaths in 2025, Taylor Swift, Miguel Uribe Turbay, 2025–26 UEFA Champions League.
In French Wikipedia the most popular articles on that day were: Laurent Vallet, Ascenseur pour l'échafaud, Mercredi (série télévisée), Cristiano Ronaldo, Les Vengeances de Maître Poutifard, Illya Zabarnyi, Gianluigi Donnarumma, Jenna Ortega, Maurice Ronet, Luc Julia.
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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(0.42+0+0+0+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
