Article "Gjennestad videregående skole" in Norwegian Wikipedia has 24.8 points for quality (as of August 1, 2024). The article contains 4 references and 3 sections.
Since the creation of article "Gjennestad videregående skole", its content was written by 35 registered users of Norwegian Wikipedia and edited by 35 registered Wikipedia users in all languages.
The article is cited 25 times in Norwegian Wikipedia and cited 25 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 | Norwegian: #11962 01.2018 |
Global: #1983373 01.2018 |
On 27 November 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Empress Elisabeth of Austria, Franz Joseph I of Austria, Thanksgiving, UEFA Champions League, Wicked, Gladiator II, Elon Musk, ChatGPT, deaths in 2024, Wicked.
In Norwegian Wikipedia the most popular articles on that day were: Forside, Olav Thon, Thomas Hylland Eriksen, Kvitebjørn kong Valemon, Theodor Kittelsen, Vidkun Quisling, Håndball-EM 2024 for kvinner, Kari J. Spjeldnæs, Petter Olsen, Maria 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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.51+3.28+5.88+12+99.18)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
