Article "Monetų namai" in Lithuanian Wikipedia has 23 points for quality (as of August 1, 2024). The article contains 4 references and 1 sections.
Since the creation of article "Monetų namai", its content was written by 7 registered users of Lithuanian Wikipedia and edited by 7 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 | Lithuanian: #11291 09.2018 |
Global: #3645225 01.2022 |
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 Lithuanian Wikipedia the most popular articles on that day were: Donald Trump, 2024 metų JAV prezidento rinkimai, Melania Trump, Asta Skaisgirytė-Liauškienė, Jungtinių Amerikos Valstijų prezidentas, Jungtinės Amerikos Valstijos, JAV valstijos, Kamala Harris, Joe Biden, Lietuva.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.54+3.1+4.76+4+99.82)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
