Koskinia - ancient city of Turkey associated with settlement mound. Article “Koskinia” in Turkish Wikipedia has 24.4 points for quality (as of July 1, 2025). The article contains 7 references and 1 sections.
Since the creation of article “Koskinia”, its content was written by 1 registered users of Turkish Wikipedia and edited by 1 registered Wikipedia users in all languages.
The article is cited 2 times in Turkish Wikipedia and cited 2 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 | Turkish: #331357 02.2025 |
Global: #12074795 02.2025 |
| Best Rank | Turkish: #3730 02.2025 |
Global: #449336 02.2025 |
On 5 March 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Iran, Ali Khamenei, 2026 Iran war, Jeffrey Epstein, Kurds, Strait of Hormuz, Yakovlev Yak-130, Donald Trump, Azerbaijan, Kristi Noem.
In Turkish Wikipedia the most popular articles on that day were: NATO üyesi ülkeler, Ali Hamenei, Yeraltı (dizi, 2026), Sevdiğim Sensin, İran, 2025-26 Türkiye Kupası, Taşacak Bu Deniz, Pedro Sánchez, Helin Kandemir, 2026 İran Savaşı.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(8.01+6.73+14.29+7.69+85.29)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
