Article "Snub tetraheptagonal tiling" in English Wikipedia has 23.7 points for quality (as of August 1, 2024). The article contains 0 references and 6 sections.
Since the creation of article "Snub tetraheptagonal tiling", its content was written by 8 registered users of English Wikipedia and edited by 8 registered Wikipedia users in all languages.
The article is cited 183 times in English Wikipedia and cited 183 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 | English: #2469714 11.2014 |
Global: #3998713 11.2014 |
| Best Rank | English: #527492 03.2013 |
Global: #1355018 11.2014 |
On 26 June 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2025 FIFA Club World Cup, Jeff Bezos, Zohran Mamdani, Lauren Sánchez, Northrop B-2 Spirit, 2025 NBA draft, F1, FIFA Club World Cup, 28 Years Later, Ali Khamenei.
In English Wikipedia the most popular articles on that day were: Zohran Mamdani, Mira Nair, 2025 NBA draft, Dylan Harper, Mahmood Mamdani, Lauren Sánchez, Cooper Flagg, Ron Harper, 2025 FIFA Club World Cup, 2025 New York City mayoral election.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.02+0+71.43+42.86+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
