Cultural Heritage Data of Gyeongsangnam-do (No. 101 ~ 200) - Wikimedia list article. Article “경상남도의 문화재자료 (제101호 ~ 제200호)” in Korean Wikipedia has 24.7 points for quality (as of July 1, 2025). The article contains 0 references and 3 sections.
Since the creation of article “경상남도의 문화재자료 (제101호 ~ 제200호)”, its content was written by 3 registered users of Korean Wikipedia and edited by 3 registered Wikipedia users in all languages.
The article is cited 103 times in Korean Wikipedia and cited 103 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Korean: #130124 12.2016 |
Global: #5243591 06.2019 |
| Best Rank | Korean: #5968 11.2014 |
Global: #721367 11.2014 |
On 7 October 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ed Gein, Ilse Koch, Lizzie Borden, Anthony Perkins, Monster: The Ed Gein Story, Greta Thunberg, Richard Speck, Psycho, ChatGPT, Charlie Hunnam.
In Korean Wikipedia the most popular articles on that day were: 문화방송, 한국교육방송공사, 한국방송공사, 이적 (가수), 조용필, 김혜경 (이재명의 부인), 심현섭, 기후변화, 정세협, 브라운 아이드 소울.
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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(40.47+0+69.23+13.64+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
