Article “Dağ Qışlaq” in Azerbaijani Wikipedia has 6.6 points for quality (as of July 1, 2025). The article contains 0 references and 5 sections.
In June 2025 the article “Dağ Qışlaq” was edited by 1 authors in Azerbaijani Wikipedia and written by 1 authors in all languages.
Since the creation of article “Dağ Qışlaq”, its content was written by 12 registered users of Azerbaijani Wikipedia and edited by 12 registered Wikipedia users in all languages.
The article is cited 76 times in Azerbaijani Wikipedia and cited 76 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Azerbaijani: #15387 09.2015 |
Global: #5106045 11.2020 |
On 16 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 98th Academy Awards, Michael B. Jordan, Sinners, Jessie Buckley, Paul Thomas Anderson, Sean Penn, One Battle After Another, Amy Madigan, Hamnet, Timothée Chalamet.
In Azerbaijani Wikipedia the most popular articles on that day were: Azərbaycan, Ana səhifə, Qopuz, Bakı, Novruz bayramı, Şuşa, Naxçıvan Muxtar Respublikası, Mustafa Aşurov, Şəki, Naxçıvan (şəhər).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(2.56+0+6.67+23.81+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
