Article "Sławomir Siezieniewski" in Polish Wikipedia has 10.9 points for quality (as of August 1, 2024). The article contains 1 references and 3 sections.
Since the creation of article "Sławomir Siezieniewski", its content was written by 20 registered users of Polish Wikipedia and edited by 20 registered Wikipedia users in all languages.
The article is cited 11 times in Polish Wikipedia and cited 11 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 | Polish: #6342 03.2021 |
Global: #354914 03.2021 |
| Best Rank | Polish: #2502 08.2015 |
Global: #266089 12.2005 |
On 20 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Pope Francis, Elon Musk, Donald Trump, Zero Day, 2024–25 UEFA Champions League, killing of Gabby Petito, Kylian Mbappé, UEFA Champions League, ChatGPT, Volodymyr Zelenskyy.
In Polish Wikipedia the most popular articles on that day were: Agnieszka Kwiatkowska-Gurdak, Franciszek (papież), Marian Turski, Simona Kossak, Edward Siarka, Mirra Andriejewa, Radio Nowy Świat, Elon Musk, Gloria Kossak, Falcon 9.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.84+0.66+18.18+17.65+13.38)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
