Article “Passagem para...” in Portuguese Wikipedia has 26.5 points for quality (as of July 1, 2025). The article contains 12 references and 3 sections.
Since the creation of article “Passagem para...”, its content was written by 8 registered users of Portuguese Wikipedia and edited by 8 registered Wikipedia users in all languages.
The article is cited 1 times in Portuguese 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Portuguese: #149852 07.2009 |
Global: #3266443 12.2015 |
| Best Rank | Portuguese: #16678 04.2016 |
Global: #817482 11.2008 |
On 9 December 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Stranger Things, 2026 FIFA World Cup, Lando Norris, Millie Bobby Brown, Sean Combs, It: Welcome to Derry, ChatGPT, Zootopia 2, deaths in 2025, Cassie Ventura.
In Portuguese Wikipedia the most popular articles on that day were: Clara Pinto Correia, Margarida Pinto Correia, Luís Castro, Glauber Braga, Lúcia dos Santos, Ângela Diniz, Jim Caviezel, Pastorinhos de Fátima, Assassinato de Marcos Kitano, Margarida Corceiro.
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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(5.73+7.84+0+18.75+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
