Torsåker - settlement in Kramfors Municipality, Sweden. Article "Torsåker, Kramfors kommun" in Swedish Wikipedia has 5.4 points for quality (as of August 1, 2024).
Since the creation of article "Torsåker, Kramfors kommun", its content was written by 9 registered users of Swedish Wikipedia and edited by 9 registered Wikipedia users in all languages.
The article is cited 12 times in Swedish Wikipedia and cited 12 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: #51122 04.2017 |
Global: #2567294 04.2017 |
| Best Rank | Swedish: #4704 08.2018 |
Global: #750048 02.2007 |
On 25 January 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Donald Trump, Madison Keys, Elon Musk, Aryna Sabalenka, Melania Trump, Emilia Pérez, Abdukodir Khusanov, Pete Hegseth, Nosferatu, Karla Sofía Gascón.
In Swedish Wikipedia the most popular articles on that day were: Tomas Brolin, Pehr G. Gyllenhammar, Isa Östling, Knut Knutson, Nikita Uggla, Cecilia Gyllenhammar, Dubbelmordet i Linköping, Maja Ivarsson, Elon Musk, Vidkun Quisling.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.66+0+18.18+5.26+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
