Article "Amt Hardisleben" in German Wikipedia has 22.1 points for quality (as of August 1, 2024). The article contains 6 references and 6 sections.
In July 2024 the article "Amt Hardisleben" was edited by 1 authors in German Wikipedia and written by 1 authors in all languages.
Since the creation of article "Amt Hardisleben", its content was written by 10 registered users of German Wikipedia and edited by 10 registered Wikipedia users in all languages.
The article is cited 23 times in German Wikipedia and cited 23 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 | German: #1005067 11.2014 |
Global: #6354569 01.2017 |
| Best Rank | German: #28110 01.2019 |
Global: #355401 01.2019 |
On 19 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: assassination of John F. Kennedy, Adolescence, Elon Musk, Gal Gadot, John F. Kennedy, Incel, Sunita Williams, deaths in 2025, ChatGPT, March 19.
In German Wikipedia the most popular articles on that day were: AnNa R., Helga Schmid (Diplomatin), Wendland, Annalena Baerbock, Bruce Willis, Rosenstolz, Klassentreffen (2019), Liste der größten Auslegerbrücken, Nerobefehl, Peter Plate.
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
