Österled

sv

WikiRank.net
ver. 1.6.2

Österled

Quality:

Austrvegr - Viking Age sea lanes eastwards. Article “Österled” in Swedish Wikipedia has 4.7 points for quality (as of July 1, 2025). The article contains 0 references and 2 sections.

The article is cited 15 times in Swedish Wikipedia and cited 15 times in all languages.

Scores

Estimated value for Wikipedia:
Swedish:
Global:
Popularity in June 2025:
Swedish:
Global:
Popularity in all years:
Swedish:
Global:
Authors in June 2025:
Swedish:
Global:
Registered authors in all years:
Swedish:
Global:
Citations:
Swedish:
Global:

Quality measures

Popularity rank trends

AI rank trends

News from 10 March 2026

On 10 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Iran, Mojtaba Khamenei, Enhypen, Ali Khamenei, Strait of Hormuz, Jeffrey Epstein, 2026 Iran war, 2026 World Baseball Classic, Donald Trump, World Baseball Classic.

In Swedish Wikipedia the most popular articles on that day were: Ebba Årsjö, Felicia Eriksson, Thomas Sjögren (krögare), Zebastian Modin, Christer A, Melodifestivalen 2026, Tomas Sjödin, Anders Wall, Jeffrey Epstein, Hormuzsundet.

About WikiRank

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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information

In Wikipedia quality we trust
2015-2026, WikiRank.net, CC BY-SA 3.0

Quality formula for the article Österled sv

$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.64+0+8.33+10.53+0)$$

where:

  • $nm_i$ is normalized quality metric $i$
  • $c$ is the number of quality metrics
  • $RS$ is the reducing score (if exists)

The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas