Nationale Strippenkaart - former Dutch payment system in public transport. Article "Nationale Strippenkaart" in Dutch Wikipedia has 46.1 points for quality (as of November 1, 2023). The article contains 19 references and 17 sections.
Since the creation of article "Nationale Strippenkaart", its content was written by 85 registered users of Dutch Wikipedia and edited by 85 registered Wikipedia users in all languages.
The article is cited 54 times in Dutch Wikipedia and cited 54 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: #1852 08.2009 |
Global: #253302 05.2009 |
On 28 April 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: YouTube, Fallout, Facebook, Baby Reindeer, Challengers, Premier League, Fallout, deaths in 2024, Queen of Tears, Arsenal F.C..
In Dutch Wikipedia the most popular articles on that day were: Baby Reindeer, Máxima Zorreguieta, Sharon Gesthuizen, Richard Gadd, Jorge Zorreguieta, Willem-Alexander der Nederlanden, Nava Mau, Hollandse ziekte (optredens), Koningsdag (Nederland), Karst Tates.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(49.32+33.33+11.76+73.91+62.03)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
