Shelley Martel - Canadian politician. Article "Shelley Martel" in English Wikipedia has 41.4 points for quality (as of August 1, 2024). The article contains 25 references and 10 sections.
Since the creation of article "Shelley Martel", its content was written by 51 registered users of English Wikipedia and edited by 51 registered Wikipedia users in all languages.
The article is cited 81 times in English Wikipedia and cited 81 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: #631884 11.2008 |
Global: #1064351 11.2008 |
| Best Rank | English: #6163 10.2003 |
Global: #14613 10.2003 |
On 25 January 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Donald Trump, Madison Keys, Elon Musk, Aryna Sabalenka, Melania Trump, Emilia Pérez, Abdukodir Khusanov, Pete Hegseth, Nosferatu, Karla Sofía Gascón.
In English Wikipedia the most popular articles on that day were: Madison Keys, Pete Hegseth, Brian Schottenheimer, Aryna Sabalenka, Donald Trump, Sky Force (film), Elon Musk, Melania Trump, Nosferatu (2024 film), Emilia Pérez.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(29.76+20.49+14.29+71.43+70.9)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
