Article "Max Feffer" in Portuguese Wikipedia has 14 points for quality (as of August 1, 2024). The article contains 3 references and 2 sections.
Since the creation of article "Max Feffer", its content was written by 22 registered users of Portuguese Wikipedia and edited by 22 registered Wikipedia users in all languages.
The article is cited 6 times in Portuguese Wikipedia and cited 6 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 | Portuguese: #30403 03.2024 |
Global: #1023991 03.2024 |
| Best Rank | Portuguese: #6298 10.2021 |
Global: #387142 08.2010 |
On 26 October 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ilia Topuria, Lyle and Erik Menendez, Hansi Flick, Venom: The Last Dance, El Clásico, 2024 United States presidential election, Khamzat Chimaev, BRICS, Max Holloway, Shohei Ohtani.
In Portuguese Wikipedia the most popular articles on that day were: Marco Paulo, Maníaco do Parque, Maguila, Narcisa Tamborindeguy, ChatGPT, El Clásico, Guilherme Boulos, José Carlos de Almeida, Trace Brasil, Mr. Olympia.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.61+1.95+9.09+12.5+41.81)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
