Article "Київський козацький полк ім. Т. Шевченка" in Ukrainian Wikipedia has 88.2 points for quality (as of July 1, 2025). The article contains 90 references and 21 sections.
Since the creation of article "Київський козацький полк ім. Т. Шевченка", its content was written by 23 registered users of Ukrainian Wikipedia and edited by 23 registered Wikipedia users in all languages.
The article is cited 142 times in Ukrainian Wikipedia and cited 142 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 | Ukrainian: #22666 01.2016 |
Global: #2285996 11.2017 |
On 8 July 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Diogo Jota, João Pedro, Ozzy Osbourne, Laura Siegemund, Aryna Sabalenka, Julian McMahon, Jurassic World Rebirth, 2025 FIFA Club World Cup, Amanda Anisimova, F1.
In Ukrainian Wikipedia the most popular articles on that day were: Х-47М2 «Кинджал», Стефанішина Ольга Віталіївна, Гринцевич Назарій Андрійович, Озерне (селище, Житомирський район), Діогу Жота, МіГ-31, Старовойт Роман Володимирович, Україна, Оззі Осборн, Labubu.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(83.64+88.24+77.78+91.3+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
