Article "Asociación Galega de Axuda a Ucraína" in Galician Wikipedia has 26.5 points for quality (as of November 1, 2023). The article contains 11 references and 5 sections.
Since the creation of article "Asociación Galega de Axuda a Ucraína", its content was written by 2 registered users of Galician Wikipedia and edited by 2 registered Wikipedia users 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 | Galician: #12666 06.2023 |
Global: #7645315 06.2023 |
| Best Rank | Galician: #1587 11.2022 |
Global: #863236 11.2022 |
On 27 July 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2024 Summer Olympics, Céline Dion, Olympic Games, Kamala Harris, stiff-person syndrome, Deadpool & Wolverine, 2020 Summer Olympics, Aya Nakamura, Lady Gaga, Marie Antoinette.
In Galician Wikipedia the most popular articles on that day were: Monopatinaxe nos Xogos Olímpicos, Xabier Deive, Xavier Suárez-Vence, Laura Martínez Abelenda, Céline Dion, Armenia, Atlas de Guadalajara, Rafael Nadal, Xosé Manuel Piñeiro, Galegos nos Xogos Olímpicos de 2020.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(6.53+6.04+6.67+25+88.34)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
