Article “Фамилија Маркез, Лоте Веинте (Енсенада)” in Serbian Wikipedia has 17.7 points for quality (as of July 1, 2025). The article contains 7 references and 6 sections.
Since the creation of article “Фамилија Маркез, Лоте Веинте (Енсенада)”, its content was written by 1 registered users of Serbian Wikipedia and edited by 1 registered Wikipedia users in all languages.
The article is cited 1765 times in Serbian Wikipedia (7253rd place) and cited 1765 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 | Serbian: #131648 10.2021 |
Global: #8314649 11.2021 |
| Best Rank | Serbian: #33987 06.2022 |
Global: #1189512 03.2018 |
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 Serbian Wikipedia the most popular articles on that day were: Тврђава (ТВ серија), Алимпије Столпник, Predrag Bećirić, Јаника Балаж, Повратак Жикине династије, Миланче Радосављевић, Огњен Мићовић, Јово Максић, Милан Обреновић, Дарија Вучко.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(8.35+3.95+5.26+24+46.98)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
