Article "Teisės paminklas" in Lithuanian Wikipedia has 2 points for quality (as of August 1, 2024). The article also contains quality flaw template, which reduce quality score.
Since the creation of article "Teisės paminklas", its content was written by 3 registered users of Lithuanian Wikipedia and edited by 3 registered Wikipedia users in all languages.
The article is cited 8 times in Lithuanian Wikipedia and cited 8 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 | Lithuanian: #33163 06.2008 |
Global: #3458258 01.2008 |
| Best Rank | Lithuanian: #3028 11.2016 |
Global: #701927 07.2007 |
On 20 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Pope Francis, Elon Musk, Donald Trump, Zero Day, 2024–25 UEFA Champions League, killing of Gabby Petito, Kylian Mbappé, UEFA Champions League, ChatGPT, Volodymyr Zelenskyy.
In Lithuanian Wikipedia the most popular articles on that day were: Lietuva, Zodiakas, Donald Trump, Katarsis (grupė), NATO valstybės narės, Pietų Afrika, Popiežius Pranciškus, Lietuvos nacionalinis radijas ir televizija, Jungtinės Amerikos Valstijos, Vladimiras Putinas.
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
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
