Article "1 Mart tezkeresi" in Turkish Wikipedia has 25.6 points for quality (as of November 1, 2023). The article contains 9 references and 5 sections.
Since the creation of article "1 Mart tezkeresi", its content was written by 48 registered users of Turkish Wikipedia and edited by 48 registered Wikipedia users in all languages.
The article is cited 54 times in Turkish Wikipedia and cited 54 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | Turkish: #1367 10.2017 |
Global: #191274 04.2017 |
| Best Rank | Turkish: #1091 04.2019 |
Global: #328949 08.2007 |
On 16 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Yasuke, New Caledonia, Slovakia, Robert Fico, Bridgerton, YouTube, ChatGPT, deaths in 2024, Planet of the Apes, May 16.
In Turkish Wikipedia the most popular articles on that day were: Kobani Olayları, Yeni Kaledonya, 2024 FIVB Voleybol Kadınlar Milletler Ligi, Aziz Yıldırım, Selahattin Demirtaş, FIVB Dünya Sıralaması, Figen Yüksekdağ, Yasin Börü'nün öldürülmesi, Hurûfilik, Süper Lig şampiyonları listesi.
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 November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(13.94+8.18+12.5+35.71+57.43)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
