Article “Jenni Janakka” in Finnish Wikipedia has 29.3 points for quality (as of July 1, 2025). The article contains 14 references and 5 sections.
Since the creation of article “Jenni Janakka”, its content was written by 20 registered users of Finnish Wikipedia and edited by 20 registered Wikipedia users in all languages.
The article is cited 13 times in Finnish Wikipedia and cited 13 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Finnish: #128 04.2025 |
Global: #183897 04.2025 |
On 15 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Wuthering Heights, 2026 Winter Olympics, Epstein files, Ilia Malinin, Wuthering Heights, Ghislaine Maxwell, Lucas Pinheiro Braathen, 2026 Winter Olympics medal table, Valentine's Day.
In Finnish Wikipedia the most popular articles on that day were: Suvi Minkkinen, Kaisa Mäkäräinen, Martin Ponsiluoma, Niko Anttola, Johannes Høsflot Klæbo, Jääkiekko talviolympialaisissa 2026 – miesten turnaus, Jyrki Ponsiluoma, Ampumahiihto, Iivo Niskanen, Talviolympialaiset 2026.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(11.74+11.38+0+23.81+99.58)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
