Article "Liste de personnalités liées à Sèvres" in French Wikipedia has 13.4 points for quality (as of August 1, 2024). The article contains 5 references and 5 sections.
Since the creation of article "Liste de personnalités liées à Sèvres", 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 2 times in French Wikipedia and cited 2 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: #209703 12.2016 |
Global: #2081716 12.2016 |
| Best Rank | French: #17710 08.2018 |
Global: #426776 08.2018 |
On 25 January 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Donald Trump, Madison Keys, Elon Musk, Aryna Sabalenka, Melania Trump, Emilia Pérez, Abdukodir Khusanov, Pete Hegseth, Nosferatu, Karla Sofía Gascón.
In French Wikipedia the most popular articles on that day were: Bob Dylan, Dorothée (animatrice), Sofia Essaïdi, Victor Wembanyama, Timothée Chalamet, Elon Musk, Ariane Carletti, Madison Keys, Amel Bent, Thierry Cham.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(10.95+2.62+10.53+19.23+23.57)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
