Article "Corpus de Sitges" in Catalan Wikipedia has 51 points for quality (as of August 1, 2024). The article contains 7 references and 36 sections.
Since the creation of article "Corpus de Sitges", its content was written by 16 registered users of Catalan Wikipedia and edited by 16 registered Wikipedia users in all languages.
The article is cited 85 times in Catalan Wikipedia and cited 85 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 | Catalan: #5090 06.2009 |
Global: #1983736 06.2009 |
On 19 November 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Mike Tyson, Elon Musk, MGM-140 ATACMS, Gladiator II, International Men's Day, 2024–25 UEFA Nations League, Donald Trump, Jake Paul, Jon Jones, deaths in 2024.
In Catalan Wikipedia the most popular articles on that day were: Francisco José Gan Pampols, XavlegbmaofffassssitimiwoamndutroabcwapwaeiippohfffX, Josep Lluís Ortega Monasterio, José Juan Martínez Gómez, À Punt FM, Jordi Bonell i Deià, Francisco Gan, Dia Internacional de l'Home, Assalt al Banco Central, YouTube.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(100+8.54+38.46+100+8.07)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
