Article "Puig d'Escorca" in Catalan Wikipedia has 13.3 points for quality (as of November 1, 2023). The article contains 1 references and 2 sections.
Since the creation of article "Puig d'Escorca", its content was written by 1 registered users of Catalan Wikipedia and edited by 1 registered Wikipedia users in all languages.
The article is cited 3 times in Catalan Wikipedia and cited 3 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 | Catalan: #155533 11.2012 |
Global: #7671943 11.2012 |
| Best Rank | Catalan: #19588 11.2012 |
Global: #592081 11.2012 |
On 16 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Yasuke, New Caledonia, Slovakia, Robert Fico, Bridgerton, YouTube, ChatGPT, deaths in 2024, Planet of the Apes, May 16.
In Catalan Wikipedia the most popular articles on that day were: Juraj Cintula, Peret, Manuel de Pedrolo i Molina, Nova Caledònia, Robert Fico, Jessica Goicoechea Jover, Carles Puigdemont i Casamajó, Eslovàquia, XavlegbmaofffassssitimiwoamndutroabcwapwaeiippohfffX, Oriol Junqueras i Vies.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(2.81+1.23+7.69+11.76+42.79)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
