Article “Pexte Paxter” in Estonian Wikipedia has 70 points for quality (as of July 1, 2025). The article contains 43 references and 18 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 3.68 points.
Since the creation of article “Pexte Paxter”, its content was written by 5 registered users of Estonian Wikipedia.
The article is cited 3 times in Estonian Wikipedia.
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 | Estonian: #8705 08.2024 |
| Best Rank | Estonian: #218 08.2024 |
On 28 January 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2025–26 UEFA Champions League, Nipah virus, Doomsday Clock, UEFA Champions League, Elena Rybakina, Donald Trump, 2026 European Men's Handball Championship, killing of Alex Pretti, Kristi Noem, deaths in 2026.
In Estonian Wikipedia the most popular articles on that day were: Erika Salumäe, Suur Tõll (laev), Kerli Kivilaan, Frederik X, Hendrik Sal-Saller, Vanilla Ninja, Mary (Taani kuninganna), Keemiliste elementide loend, Taani kuningas, Eesti kirjanike loend.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(46.11+100+22.22+100+100)-3.68$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
