Umba - river in Arkhangelsk Oblast and Karelia, Russia. Article "Умба (приток Выга)" in Russian Wikipedia has 18.7 points for quality (as of August 1, 2024). The article contains 3 references and 2 sections.
Since the creation of article "Умба (приток Выга)", its content was written by 2 registered users of Russian Wikipedia and edited by 2 registered Wikipedia users in all languages.
The article is cited 49 times in Russian Wikipedia and cited 49 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 | Russian: #573992 06.2019 |
Global: #4970508 06.2019 |
| Best Rank | Russian: #152744 03.2020 |
Global: #2337272 11.2016 |
On 2 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Volodymyr Zelenskyy, Elon Musk, Gene Hackman, 97th Academy Awards, Donald Trump, JD Vance, Bob Dylan, The Brutalist, Michelle Trachtenberg, Pope Francis.
In Russian Wikipedia the most popular articles on that day were: Яндекс, Сайтиев, Бувайсар Хамидович, Прощёное воскресенье, Вэнс, Джеймс Дэвид, Оскар (кинопремия, 2025), Сакс, Джеффри (экономист), Трамп, Дональд, Зеленский, Владимир Александрович, Масленица, YouTube.
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
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
