Article “한국세무사회” in Korean Wikipedia has 20.6 points for quality (as of July 1, 2025). The article contains 2 references and 16 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 1.08 points.
Since the creation of article “한국세무사회”, its content was written by 5 registered users of Korean Wikipedia and edited by 5 registered Wikipedia users in all languages.
The article is cited 8 times in Korean Wikipedia and cited 8 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: #16499 08.2024 |
Global: #1580313 08.2024 |
| Best Rank | Korean: #5998 02.2024 |
Global: #906297 08.2023 |
On 9 December 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Stranger Things, 2026 FIFA World Cup, Lando Norris, Millie Bobby Brown, Sean Combs, It: Welcome to Derry, ChatGPT, Zootopia 2, deaths in 2025, Cassie Ventura.
In Korean Wikipedia the most popular articles on that day were: 문화방송, 한국방송공사, 한국교육방송공사, 유발이, UDT: 우리동네 특공대, 아오모리현, 신지윤, 조진웅, 카카오톡, 자백의 대가.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(20.15+1.32+7.69+72.73+6.52)-1.08$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
