Article "Regular embedding" in English Wikipedia has 25.6 points for quality (as of August 1, 2024). The article contains 10 references and 7 sections.
Since the creation of article "Regular embedding", its content was written by 15 registered users of English Wikipedia and edited by 15 registered Wikipedia users in all languages.
The article is cited 23 times in English Wikipedia and cited 23 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: #1790808 11.2020 |
Global: #3203896 11.2020 |
| Best Rank | English: #75562 09.2022 |
Global: #242598 09.2022 |
On 18 September 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: pager, Salvatore Schillaci, Hezbollah, UEFA Champions League, 2024–25 UEFA Champions League, 2024 Lebanon communication device explosions, Lyle and Erik Menéndez, Sean Combs, deaths in 2024, Shōgun.
In English Wikipedia the most popular articles on that day were: Sean Combs, Anna Sorokin, 2024 Lebanon pager explosions, Hezbollah, Salvatore Schillaci, September 2024 lunar eclipse, Aaron Hernandez, Eric Roberts, Deaths in 2024, Pager.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(15.61+8.2+0+50+54.06)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
