KK106 - road in Lithuania. Article “KK106” in Lithuanian Wikipedia has 10 points for quality (as of July 1, 2025). The article contains 1 references and 2 sections.
Since the creation of article “KK106”, its content was written by 8 registered users of Lithuanian Wikipedia and edited by 8 registered Wikipedia users in all languages.
The article is cited 144 times in Lithuanian Wikipedia and cited 144 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 | Lithuanian: #14555 12.2020 |
Global: #3950362 11.2008 |
| Best Rank | Lithuanian: #1438 04.2019 |
Global: #500517 08.2009 |
On 16 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 98th Academy Awards, Michael B. Jordan, Sinners, Jessie Buckley, Paul Thomas Anderson, Sean Penn, One Battle After Another, Amy Madigan, Hamnet, Timothée Chalamet.
In Lithuanian Wikipedia the most popular articles on that day were: Sintautai, Mūšis po mūšio, Antanas Andrijauskas, Hormūzo sąsiauris, Meninės raiškos priemonės, Julius Juzeliūnas, Lietuva, Nusidėjėliai, Iranas, 98-oji Oskarų teikimo ceremonija.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(5.1+0.78+19.05+8+16.88)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
