Jeong Guk-jin - South Korean actor. Article "정국진 (배우)" in Korean Wikipedia has 4 points for quality (as of August 1, 2024). The article contains 0 references and 4 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "정국진 (배우)", its content was written by 10 registered users of Korean Wikipedia and edited by 10 registered Wikipedia users in all languages.
The article is cited 11 times in Korean Wikipedia and cited 11 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 | Korean: #16057 02.2015 |
Global: #1775398 01.2018 |
| Best Rank | Korean: #8214 10.2021 |
Global: #931977 10.2021 |
On 3 November 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2024 United States presidential election, Kamala Harris, Donald Trump, 2024 Formula One World Championship, The Substance, Kemi Badenoch, deaths in 2024, Elon Musk, Venom: The Last Dance, Max Verstappen.
In Korean Wikipedia the most popular articles on that day were: 문화방송, 2024년 미국 대통령 선거, 페이커 (프로게이머), 김영선 (1960년), 유영철, 백지연, 양정아, 한국방송공사, 정대세, 한국교육방송공사.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(3.01+0+0+18.18+0)-0.21$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
