État 140-908 to 140-955 - class of French (ex-German) 2-8-0 locomotives. Article "État 140-908 à 140-955" in French Wikipedia has 18 points for quality (as of August 1, 2024). The article contains 5 references and 4 sections.
Since the creation of article "État 140-908 à 140-955", its content was written by 7 registered users of French Wikipedia and edited by 7 registered Wikipedia users in all languages.
The article is cited 1 times in French Wikipedia and cited 1 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: #916103 10.2022 |
Global: #7610869 10.2022 |
| Best Rank | French: #53744 11.2022 |
Global: #861185 11.2022 |
On 2 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Volodymyr Zelenskyy, Elon Musk, Gene Hackman, 97th Academy Awards, Donald Trump, JD Vance, Bob Dylan, The Brutalist, Michelle Trachtenberg, Pope Francis.
In French Wikipedia the most popular articles on that day were: Jacques Vergès, Julia Roberts, Val Kilmer, Herbert Léonard, Karim Leklou, Emilia Perez, Elon Musk, À plein temps (film), Volodymyr Zelensky, Karla Sofía Gascón.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.78+2.62+0+15.38+68.32)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
