Friedrich Viebahn - German war criminal. Article "Friedrich Viebahn" in Dutch Wikipedia has 15.7 points for quality (as of August 1, 2024). The article contains 2 references and 0 sections.
Since the creation of article "Friedrich Viebahn", its content was written by 10 registered users of Dutch Wikipedia and edited by 10 registered Wikipedia users in all languages.
The article is cited 13 times in Dutch Wikipedia and cited 13 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 | Dutch: #10814 09.2018 |
Global: #766711 09.2018 |
| Best Rank | Dutch: #9199 02.2017 |
Global: #769349 08.2007 |
On 24 September 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Lebanon, Hezbollah, Lyle and Erik Menéndez, Sean Combs, Monsters: The Lyle and Erik Menendez Story, ChatGPT, deaths in 2024, Linkin Park, Thunderbolts, September 24.
In Dutch Wikipedia the most popular articles on that day were: Aron Wade, Libanon, Ahmed Aboutaleb, Hezbollah, ChatGPT, Marjolein Faber-van de Klashorst, Trap (2024), Dennis Schouten, W817 (televisieserie), Bill Wyman.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.54+3.45+0+0+70.43)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
