Article "Ծիծեռնակ ճամբար" in Armenian Wikipedia has 7.2 points for quality (as of August 1, 2024). The article contains 0 references and 2 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "Ծիծեռնակ ճամբար", its content was written by 11 registered users of Armenian Wikipedia and edited by 11 registered Wikipedia users in all languages.
The article is cited 3 times in Armenian Wikipedia and cited 3 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 | Armenian: #664 12.2018 |
Global: #1465010 12.2018 |
On 26 June 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2025 FIFA Club World Cup, Jeff Bezos, Zohran Mamdani, Lauren Sánchez, Northrop B-2 Spirit, 2025 NBA draft, F1, FIFA Club World Cup, 28 Years Later, Ali Khamenei.
In Armenian Wikipedia the most popular articles on that day were: Սուր միելոյիդ լեյկեմիա, Վոլֆգանգ Ամադեուս Մոցարտ, Գուժ Մանուկյան, Թլպատում, Գարեգին Բ, Վարդավառ, Բագրատ Գալստանյան, Սուրբ Հովհաննես մատուռ (Հարթագյուղ), Հայաստան, Նորավանք.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(2.78+0+27.78+7.41+0)-0.38$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
