Article "Weet Ik Veel (Nederland)" in Dutch Wikipedia has 48.9 points for quality (as of November 1, 2023). The article contains 21 references and 21 sections.
In October 2023 the article "Weet Ik Veel (Nederland)" was edited by 1 authors in Dutch Wikipedia and written by 1 authors in all languages.
Since the creation of article "Weet Ik Veel (Nederland)", its content was written by 74 registered users of Dutch Wikipedia and edited by 74 registered Wikipedia users in all languages.
The article is cited 84 times in Dutch Wikipedia and cited 84 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 | Dutch: #343 01.2021 |
Global: #127525 01.2021 |
On 23 April 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: YouTube, Serie A, Shōgun, Fallout, Facebook, Fallout, Saint George, Saint George Day, Inter Milan, ChatGPT.
In Dutch Wikipedia the most popular articles on that day were: Maikel Zijlaard, Baby Reindeer, ChatGPT, Kim Feenstra, Rwanda, Gover Meit, Erik Hazelhoff Roelfzema, Jorge Zorreguieta, Michael Zijlaard, Máxima Zorreguieta.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(56.71+36.84+0+91.3+59.62)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
