Marten Drinking River - watercourse in Ontario, Canada. Article "Marten-Drinking River" in Swedish Wikipedia has 7.8 points for quality (as of August 1, 2024). The article contains 1 references and 3 sections.
Since the creation of article "Marten-Drinking River", its content was written by 3 registered users of Swedish Wikipedia and edited by 3 registered Wikipedia users in all languages.
The article is cited 3 times in Swedish Wikipedia and cited 3 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 | Swedish: #192313 10.2015 |
Global: #6828802 10.2015 |
| Best Rank | Swedish: #10124 10.2015 |
Global: #940454 10.2015 |
On 2 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Volodymyr Zelenskyy, Elon Musk, Gene Hackman, 97th Academy Awards, Donald Trump, JD Vance, Bob Dylan, The Brutalist, Michelle Trachtenberg, Pope Francis.
In Swedish Wikipedia the most popular articles on that day were: Alvar Myhlback, Stina Nilsson, Vasaloppet, Gunde Svan, Lista över segrare i Vasaloppet, Max Novak, Victoria Silvstedt, Petter Myhlback, Kaeli Abdi, Linda Pira.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(6.44+1.04+0+15.79+15.54)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
