Article "Aniq ekish" in Uzbek Wikipedia has 0.9 points for quality (as of August 1, 2024).
In July 2024 the article "Aniq ekish" was edited by 1 authors in Uzbek Wikipedia and written by 1 authors in all languages.
Since the creation of article "Aniq ekish", its content was written by 3 registered users of Uzbek Wikipedia and edited by 3 registered Wikipedia users 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 | Uzbek: #25972 02.2019 |
Global: #9190996 06.2013 |
| Best Rank | Uzbek: #2692 02.2023 |
Global: #1922158 05.2013 |
On 6 November 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Donald Trump, 2024 United States presidential election, Kamala Harris, 2020 United States presidential election, United States Electoral College, President of the United States, 2016 United States presidential election, Melania Trump, list of presidents of the United States, Joe Biden.
In Uzbek Wikipedia the most popular articles on that day were: AQSh prezidentlari roʻyxati, Allohning 99 nomi, Amir Temur, Jadidchilik, XXX, Alisher Navoiy, Oʻzbekiston, Islom, Donald Trump, Psixologiya.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(0.68+0+0+4+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
