Maryse Gildas - French television presenter. Article "Maryse Gildas" in French Wikipedia has 26.8 points for quality (as of November 1, 2023). The article contains 9 references and 13 sections.
Since the creation of article "Maryse Gildas", its content was written by 50 registered users of French Wikipedia and edited by 50 registered Wikipedia users in all languages.
The article is cited 29 times in French Wikipedia and cited 29 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: #55 10.2018 |
Global: #10475 10.2018 |
| Best Rank | French: #2585 10.2018 |
Global: #110054 10.2018 |
On 14 April 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Iran, Bayer 04 Leverkusen, Israel, Fallout, Iron Dome, Xabi Alonso, Max Holloway, Fallout, YouTube, Bundesliga.
In French Wikipedia the most popular articles on that day were: Iran, Gustave Eiffel, Bayer 04 Leverkusen, Fallout (série télévisée), Bixente Lizarazu, Astérix et Obélix : Au service de Sa Majesté, Un monde parfait (film), Dôme de fer, Max Holloway, Stéphane Séjourné.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(6.97+4.76+5.26+50+67.25)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
