Marcelino Margalli - Mexican politician. Article “Marcelino Margalli” in Spanish Wikipedia has 27.5 points for quality (as of July 1, 2025). The article contains 13 references and 7 sections.
Since the creation of article “Marcelino Margalli”, its content was written by 11 registered users of Spanish Wikipedia and edited by 11 registered Wikipedia users in all languages.
The article is cited 8 times in Spanish Wikipedia and cited 8 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 | Spanish: #344588 09.2022 |
Global: #3129475 09.2022 |
| Best Rank | Spanish: #40397 03.2023 |
Global: #771245 10.2015 |
On 5 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Iran, Ali Khamenei, 2026 Iran war, Jeffrey Epstein, Kurds, Strait of Hormuz, Yakovlev Yak-130, Donald Trump, Azerbaijan, Kristi Noem.
In Spanish Wikipedia the most popular articles on that day were: Fernando Ónega, Marc Giró, Rodrigo Contreras, Irán, Día Internacional de la Mujer, Cristóbal Colón (F-105), Copa Sudamericana 2026, Jeffrey Epstein, Ana Luisa Peluffo, Chipre.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(9.34+8.44+0+31.82+87.72)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
