Article “Harput Ermenileri” in Turkish Wikipedia has 32.1 points for quality (as of July 1, 2025). The article contains 3 references and 9 sections.
Since the creation of article “Harput Ermenileri”, its content was written by 17 registered users of Turkish Wikipedia and edited by 17 registered Wikipedia users in all languages.
The article is cited 10 times in Turkish Wikipedia and cited 10 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: #28285 10.2020 |
Global: #1468796 04.2021 |
| Best Rank | Turkish: #1260 05.2025 |
Global: #306673 05.2025 |
On 10 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Ghislaine Maxwell, Ilia Malinin, Bad Bunny, 2026 Winter Olympics, Epstein files, Jutta Leerdam, Jake Paul, Puerto Rico, Little Saint James.
In Turkish Wikipedia the most popular articles on that day were: Mustafa Çiftçi (bürokrat), Akın Gürlek, Jeffrey Epstein, II. Mehmed, Epstein dosyaları, II. Abdülhamid, Ali Yerlikaya, Osmanlı padişahları listesi, Nüfusuna göre Türkiye'nin illeri, Vecihi Hürkuş.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(37.96+2.88+42.86+69.23+7.71)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
