Marcela Vávrová - speed skater from Czechoslovakia. Article "Marcela Vávrová" in Norwegian Wikipedia has 2.8 points for quality (as of August 1, 2024). The article contains 0 references and 3 sections.
Since the creation of article "Marcela Vávrová", its content was written by 10 registered users of Norwegian Wikipedia and edited by 10 registered Wikipedia users in all languages.
The article is cited 1 times in Norwegian Wikipedia and cited 1 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: #105391 04.2020 |
Global: #7614620 04.2020 |
| Best Rank | Norwegian: #2814 04.2020 |
Global: #1081876 01.2016 |
On 19 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: assassination of John F. Kennedy, Adolescence, Elon Musk, Gal Gadot, John F. Kennedy, Incel, Sunita Williams, deaths in 2025, ChatGPT, March 19.
In Norwegian Wikipedia the most popular articles on that day were: Forside, Tistedalsdrapene, Isak Dreyer, Elli Müller Osborne, Sophie Elise, Henry Rinnan, Lothepus, Liste over byer i Danmark, Ezinne Okparaebo, Milli Vanilli.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.86+0+0+12+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
