Article “Пасо Гвајабо (Матијас Ромеро Авендањо)” in Serbian Wikipedia has 15.6 points for quality (as of July 1, 2025). The article contains 8 references and 6 sections.
Since the creation of article “Пасо Гвајабо (Матијас Ромеро Авендањо)”, 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 163 times in Serbian Wikipedia and cited 163 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: #209947 11.2021 |
Global: #8558975 11.2021 |
| Best Rank | Serbian: #47460 03.2018 |
Global: #637397 03.2018 |
On 26 September 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Claudia Cardinale, One Battle After Another, ChatGPT, Alice in Borderland, Guinness, deaths in 2025, Benjamin Netanyahu, Assata Shakur, Charlie Kirk, Arthur Guinness.
In Serbian Wikipedia the most popular articles on that day were: Небојша Павковић, Воздвижење часног Крста, Србија, Радио Милева, Петар Стругар, Ибрахим Траоре, Апокалипто, Дарко Лазић (певач), Убице мог оца (7. сезона), Рушка Јакић.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(27.93+4.52+5.26+24+16.06)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
