Breungeshain - human settlement in Germany. Article “Breungeshain” in German Wikipedia has 54.3 points for quality (as of July 1, 2025). The article contains 43 references and 14 sections.
Since the creation of article “Breungeshain”, its content was written by 33 registered users of German Wikipedia and edited by 33 registered Wikipedia users in all languages.
The article is cited 46 times in German Wikipedia and cited 46 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 | German: #270292 01.2021 |
Global: #2156496 01.2021 |
| Best Rank | German: #17605 05.2022 |
Global: #329429 09.2018 |
On 5 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Iran, Ali Khamenei, 2026 Iran war, Jeffrey Epstein, Kurds, Strait of Hormuz, Yakovlev Yak-130, Donald Trump, Azerbaijan, Kristi Noem.
In German Wikipedia the most popular articles on that day were: Georg Koch (Fußballspieler), Iran, Edoardo Weber, Liste der größten Auslegerbrücken, Irankrieg 2026, Dena (Schiff), Kristi Noem, Jakowlew Jak-130, Supermarine Spitfire, Ali Chamenei.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(29.09+61.43+14.29+66.67+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
