Article "Behlül Haznedar" in Turkish Wikipedia has 5 points for quality (as of August 1, 2024). The article also contains quality flaw template, which reduce quality score.
Since the creation of article "Behlül Haznedar", its content was written by 19 registered users of Turkish Wikipedia and edited by 19 registered Wikipedia users in all languages.
The article is cited 13 times in Turkish Wikipedia and cited 13 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: #4284 07.2020 |
Global: #570744 08.2022 |
| Best Rank | Turkish: #3637 11.2023 |
Global: #485031 11.2023 |
On 24 September 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Lebanon, Hezbollah, Lyle and Erik Menéndez, Sean Combs, Monsters: The Lyle and Erik Menendez Story, ChatGPT, deaths in 2024, Linkin Park, Thunderbolts, September 24.
In Turkish Wikipedia the most popular articles on that day were: Tomris Giritlioğlu, II. Mehmed, Metin Arolat, wiki.phtml, Osmanlı padişahları listesi, Albert Einstein, Lübnan, Deha (dizi), 2024'te Türkiye'de televizyon, Isaac Newton.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.79+0+14.29+7.14+0)-0.26$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
