Article "Pharmacia Gyógyszervegyészeti Gyár" in Hungarian Wikipedia has 2.9 points for quality (as of August 1, 2024). The article contains 0 references and 2 sections.
Since the creation of article "Pharmacia Gyógyszervegyészeti Gyár", its content was written by 6 registered users of Hungarian Wikipedia and edited by 6 registered Wikipedia users 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: #71588 09.2009 |
Global: #4422204 12.2009 |
| Best Rank | Hungarian: #11886 09.2023 |
Global: #1403155 04.2009 |
On 26 October 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ilia Topuria, Lyle and Erik Menendez, Hansi Flick, Venom: The Last Dance, El Clásico, 2024 United States presidential election, Khamzat Chimaev, BRICS, Max Holloway, Shohei Ohtani.
In Hungarian Wikipedia the most popular articles on that day were: Törőcsik Franciska, Südi Iringó, Dancing with the Stars (Magyarország, ötödik évad), PSG Ogli, Mihályfi Balázs, Dancing with the Stars (Magyarország), Vomberg Frigyes/Új, Hosszú Katinka, Halloween, 2024-es amerikai elnökválasztás.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(5.12+0+0+9.52+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
