Article "John Easterling" in Hungarian Wikipedia has 6.6 points for quality (as of November 1, 2023). The article contains 0 references and 3 sections.
Since the creation of article "John Easterling", its content was written by 11 registered users of Hungarian Wikipedia and edited by 11 registered Wikipedia users in all languages.
The article is cited 72 times in Hungarian Wikipedia and cited 72 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: #388 08.2022 |
Global: #332473 08.2022 |
| Best Rank | Hungarian: #4274 04.2012 |
Global: #502199 04.2012 |
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(11.72+0+7.14+14.29+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
