Article "28 juillet dans les chemins de fer" in French Wikipedia has 6.4 points for quality (as of August 1, 2024). The article contains 0 references and 8 sections.
Since the creation of article "28 juillet dans les chemins de fer", its content was written by 11 registered users of French Wikipedia and edited by 11 registered Wikipedia users in all languages.
The article is cited 75 times in French Wikipedia and cited 75 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: #308706 07.2008 |
Global: #2893236 07.2008 |
| Best Rank | French: #52119 07.2011 |
Global: #835633 07.2011 |
On 6 September 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Linkin Park, Chester Bennington, Rob Bourdon, Emily Armstrong, Cristiano Ronaldo, UEFA Nations League, Beetlejuice, Jessica Pegula, Mike Shinoda, Rebecca Cheptegei.
In French Wikipedia the most popular articles on that day were: Michel Barnier, Affaire des viols de Mazan, Maurizio Gucci, Patrizia Reggiani, Gucci, Michael Olise, House of Gucci, Linkin Park, Nicola Sirkis, Abbé Pierre.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.3+0+0+30.77+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
