Article "Leyli və Məcnun (Cami)" in Azerbaijani Wikipedia has 13.3 points for quality (as of August 1, 2024). The article contains 4 references and 5 sections.
Since the creation of article "Leyli və Məcnun (Cami)", its content was written by 3 registered users of Azerbaijani Wikipedia and edited by 3 registered Wikipedia users in all languages.
The article is cited 18 times in Azerbaijani Wikipedia and cited 18 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 | Azerbaijani: #18928 12.2017 |
Global: #5448952 12.2019 |
| Best Rank | Azerbaijani: #4522 08.2017 |
Global: #938477 08.2018 |
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 Azerbaijani Wikipedia the most popular articles on that day were: Ada ölkəsi, Ana səhifə, Billi öldürmək: 1-ci hissə, Ciu-citsu, Rəqs edən ev, Meninlər (Freylinalar), İndoneziya, Beatriks (Niderland kraliçası), Braziliya ciu-citsusu, Azərbaycan.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(6.42+2.26+0+23.81+34.12)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
