Gleichenia monticola - species of plant. Article “Gleichenia monticola” in Vietnamese Wikipedia has 11.5 points for quality (as of July 1, 2025). The article contains 1 references and 2 sections.
Since the creation of article “Gleichenia monticola”, its content was written by 3 registered users of Vietnamese Wikipedia and edited by 3 registered Wikipedia users 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 | Vietnamese: #299975 09.2019 |
Global: #9504115 09.2015 |
| Best Rank | Vietnamese: #12822 05.2014 |
Global: #804431 05.2014 |
On 28 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ali Khamenei, Iran, Ruhollah Khomeini, Jeffrey Epstein, Supreme Leader of Iran, Mohammad Reza I of Iran, 2026 Israeli–United States strikes on Iran, Neil Sedaka, Masoud Pezeshkian, Resident Evil Requiem.
In Vietnamese Wikipedia the most popular articles on that day were: Hoàng Minh Sơn, Đài Truyền hình Kỹ thuật số VTC, Nguyễn Thị Kim Tiến, Thỏ ơi!!, Nguyễn Kim Sơn, Trịnh Việt Hùng, Iran, Phạm Văn Đồng, Ali Khamenei, Triệu Thế Hùng.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.2+0.56+0+10+45.72)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
