Article "Mahmud Ağa Camii" in Turkish Wikipedia has 3.1 points for quality (as of August 1, 2024). The article also contains quality flaw template, which reduce quality score.
Since the creation of article "Mahmud Ağa Camii", its content was written by 14 registered users of Turkish Wikipedia and edited by 14 registered Wikipedia users in all languages.
The article is cited 37 times in Turkish Wikipedia and cited 37 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 | Turkish: #19080 11.2008 |
Global: #1323026 11.2008 |
| Best Rank | Turkish: #4807 09.2007 |
Global: #506333 09.2007 |
On 12 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Elon Musk, 2024–25 UEFA Champions League, UEFA Champions League, Diego Simeone, Kim Sae-ron, Kim Soo-hyun, Greenland, Giuliano Simeone, Donald Trump, ChatGPT.
In Turkish Wikipedia the most popular articles on that day were: İstiklâl Marşı, Mehmet Âkif Ersoy, Âşık Veysel, Fatih Tekke, Lamine Yamal, Karagöz ve Hacivat, Boy abdesti, Türkiye, UEFA Şampiyonlar Ligi, 2024-25 UEFA Şampiyonlar Ligi.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.95+0+14.29+0+0)-0.16$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
