Article "Friss Wikipédia-szerkesztések térképe" in Hungarian Wikipedia has 26.6 points for quality (as of November 1, 2023). The article contains 11 references and 3 sections.
Since the creation of article "Friss Wikipédia-szerkesztések térképe", 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | Hungarian: #43177 05.2013 |
Global: #3656970 05.2013 |
On 6 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Bernard Hill, YouTube, Eurovision Song Contest 2024, Lando Norris, Anne Hathaway, Facebook, Nicholas Galitzine, ChatGPT, The Idea of You, deaths in 2024.
In Hungarian Wikipedia the most popular articles on that day were: Való Világ 12, Jordán Adél, Székely Kriszta, Facebook, Tunyogi Bernadett, 2024-es magyarországi önkormányzati választás, Magyar Péter (jogász), Tisztelet és Szabadság Párt, Keresztes Tamás, Karinthy Frigyes.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(6.56+12.09+0+14.29+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
