BMW M4 Turbo DTM - Grand touring race car. Article "BMW M4 터보 DTM" in Korean Wikipedia has 10.8 points for quality (as of August 1, 2024). The article contains 1 references and 4 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "BMW M4 터보 DTM", its content was written by 1 registered users of Korean Wikipedia and edited by 1 registered Wikipedia users in all languages.
The article is cited 1 times in Korean 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 August 1, 2024 (including revision history and pageviews for previous years).
| Best Rank | Korean: #182223 09.2020 |
Global: #6573116 09.2020 |
| Best Rank | Korean: #9847 04.2021 |
Global: #1032430 04.2021 |
On 27 November 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Empress Elisabeth of Austria, Franz Joseph I of Austria, Thanksgiving, UEFA Champions League, Wicked, Gladiator II, Elon Musk, ChatGPT, deaths in 2024, Wicked.
In Korean Wikipedia the most popular articles on that day were: 문화방송, 고현정, 문가비, 한국방송공사, 한국교육방송공사, 함은정, 정우성, 강남 비-사이드, 백일해, 장희진 (1983년).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(2.34+0.66+7.69+18.18+27.83)-0.57$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
