Article "Bürgermeisterei Höhscheid" in German Wikipedia has 17.5 points for quality (as of November 1, 2023). The article contains 5 references and 3 sections.
Since the creation of article "Bürgermeisterei Höhscheid", its content was written by 15 registered users of German Wikipedia and edited by 15 registered Wikipedia users in all languages.
The article is cited 137 times in German Wikipedia and cited 137 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | German: #615336 02.2015 |
Global: #4809570 02.2015 |
| Best Rank | German: #14456 02.2015 |
Global: #199100 02.2015 |
On 15 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Robert Fico, Slovakia, Yasuke, New Caledonia, YouTube, ChatGPT, Direction – Social Democracy, Planet of the Apes, deaths in 2024, Alice Munro.
In German Wikipedia the most popular articles on that day were: Robert Fico, Neukaledonien, ICE 1, Slowakei, Liste der größten Auslegerbrücken, Smer – slovenská sociálna demokracia, Maxton Hall – Die Welt zwischen uns, Damian Hardung, ChatGPT, Jagd auf Roter Oktober (Film).
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 November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(18.71+7.46+7.14+14.29+39.67)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
