Article "Arkeologiåret 1697" in Norwegian Wikipedia has 13.8 points for quality (as of August 1, 2024). The article contains 1 references and 3 sections.
Since the creation of article "Arkeologiåret 1697", its content was written by 6 registered users of Norwegian Wikipedia and edited by 6 registered Wikipedia users in all languages.
The article is cited 330 times in Norwegian Wikipedia and cited 330 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: #170411 07.2022 |
Global: #5493566 06.2010 |
| Best Rank | Norwegian: #11480 09.2013 |
Global: #1667604 03.2011 |
On 7 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Elon Musk, Donald Trump, Bianca Censori, Kanye West, Cristiano Ronaldo, United States Agency for International Development, deaths in 2025, Karla Sofía Gascón, Benson Boone, Irv Gotti.
In Norwegian Wikipedia the most popular articles on that day were: Forside, Tobias Becs, Kate Gulbrandsen, Jon Almaas, AC/DC, Hedda Berntsen, Jens Stoltenberg, Desta Marie Beeder, Gyda Bloch Thorsen, Bård Ylvisåker.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.79+0.82+5.88+12+48.52)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
