Article "Вознесенська церква (Кудрявець)" in Ukrainian Wikipedia has 41.4 points for quality (as of August 1, 2024). The article contains 47 references and 5 sections.
Since the creation of article "Вознесенська церква (Кудрявець)", its content was written by 10 registered users of Ukrainian Wikipedia and edited by 10 registered Wikipedia users in all languages.
The article is cited 6 times in Ukrainian Wikipedia and cited 6 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 | Ukrainian: #107703 05.2011 |
Global: #5668836 03.2023 |
| Best Rank | Ukrainian: #5745 09.2016 |
Global: #931247 09.2016 |
On 25 January 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Donald Trump, Madison Keys, Elon Musk, Aryna Sabalenka, Melania Trump, Emilia Pérez, Abdukodir Khusanov, Pete Hegseth, Nosferatu, Karla Sofía Gascón.
In Ukrainian Wikipedia the most popular articles on that day were: Зеленський Володимир Олександрович, Дональд Трамп, Меланія Трамп, Захар Беркут (фільм, 2019), Гренландія, День Тетяни, YouTube, Україна, Піт Хегсет, Ілон Маск.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(14.96+53.41+16.67+21.74+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
