Ágnes Marik - Hungarian psychiatrist. Article "Marik Ágnes" in Hungarian Wikipedia has 7.5 points for quality (as of August 1, 2024). The article contains 0 references and 6 sections.
Since the creation of article "Marik Ágnes", its content was written by 8 registered users of Hungarian Wikipedia and edited by 8 registered Wikipedia users in all languages.
The article is cited 1 times in Hungarian 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 | Hungarian: #89670 09.2017 |
Global: #6102312 09.2017 |
On 12 September 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: September 11 attacks, Alberto Fujimori, Kamala Harris, Taylor Swift, Jared Isaacman, Chappell Roan, Beetlejuice, deaths in 2024, James Earl Jones, Katy Perry.
In Hungarian Wikipedia the most popular articles on that day were: Martinovics Dorina, Mária, Básti Juli, Szatory Dávid, 2001. szeptember 11-ei terrortámadások, Kolovratnik Krisztián, Cserpes Laura, 2024-es amerikai elnökválasztás, Linda (televíziós sorozat), Puskás Tamás (színművész).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(8.76+0+0+28.57+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
