Article "Հեղինե Մելիք-Հայկազյան" in Armenian Wikipedia has 10.9 points for quality (as of August 1, 2024). The article contains 1 references and 3 sections.
Since the creation of article "Հեղինե Մելիք-Հայկազյան", its content was written by 9 registered users of Armenian Wikipedia and edited by 9 registered Wikipedia users in all languages.
The article is cited 7 times in Armenian Wikipedia and cited 7 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: #8393 05.2016 |
Global: #5204923 05.2016 |
| Best Rank | Armenian: #2112 05.2016 |
Global: #891471 05.2024 |
On 8 December 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Bashar al-Assad, Syria, Syrian civil war, Hafez al-Assad, Asma al-Assad, Hay'at Tahrir al-Sham, Abu Mohammad al-Julani, Alawites, flag of Syria, Ayrton Senna.
In Armenian Wikipedia the most popular articles on that day were: Սիրիա, Սասունցի Դավիթ, Բաշշար ալ-Ասադ, Ծիր Կաթին, Հովհաննես Թումանյան, Սասնա ծռեր, Ծանրամարտի աշխարհի առաջնություն 2024, Հայաստան, Սպիտակի երկրաշարժ, Հաֆեզ ալ-Ասադ.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.78+0.55+11.11+11.11+29.8)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
