Kytsai - Wikimedia disambiguation page. Article "Кицай" in Ukrainian Wikipedia has 2 points for quality (as of August 1, 2024). The article contains 0 references and 2 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "Кицай", its content was written by 5 registered users of Ukrainian Wikipedia and edited by 5 registered Wikipedia users in all languages.
The article is cited 2 times in Ukrainian Wikipedia and cited 2 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: #67217 10.2010 |
Global: #5660971 10.2010 |
| Best Rank | Ukrainian: #5554 06.2023 |
Global: #935816 10.2010 |
On 10 October 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Han Kang, Lyle and Erik Menendez, Rafael Nadal, Sean Combs, George Baldock, Ratan Tata, Hurricane Katrina, Hurricane Milton, Joker: Folie à Deux, Ethel Skakel Kennedy.
In Ukrainian Wikipedia the most popular articles on that day were: Квадробери, Шевченко Тарас Григорович, YouTube, Україна, Впізнай мене (телесеріал), Верес Кирило Кирилович, Флорида, Радіо Свобода, Адигея, Трипільська культура.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.61+0+0+8.7+0)-0.1$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
