Article "1 perc és nyersz!" in Hungarian Wikipedia has 12.1 points for quality (as of November 1, 2023). The article contains 1 references and 4 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "1 perc és nyersz!", its content was written by 34 registered users of Hungarian Wikipedia and edited by 34 registered Wikipedia users in all languages.
The article is cited 12 times in Hungarian Wikipedia and cited 12 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | Hungarian: #834 09.2015 |
Global: #494462 09.2015 |
On 23 April 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: YouTube, Serie A, Shōgun, Fallout, Facebook, Fallout, Saint George, Saint George Day, Inter Milan, ChatGPT.
In Hungarian Wikipedia the most popular articles on that day were: Facebook, 2024-es magyarországi önkormányzati választás, YouTube, A Föld napja, Tisztelet és Szabadság Párt, Semmelweis Ignác, Simon Tibor (labdarúgó, 1965–2002), Koltai Róbert, Magyar Péter (jogász), Szentkirályi Alexandra.
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 November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(40.85+1.1+0+19.05+2.7)-0.64$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
