Article "Общероссийские классификаторы технико-экономической и социальной информации" in Russian Wikipedia has 2.2 points for quality (as of November 1, 2023).
Since the creation of article "Общероссийские классификаторы технико-экономической и социальной информации", its content was written by 11 registered users of Russian Wikipedia and edited by 11 registered Wikipedia users in all languages.
The article is cited 18 times in Russian Wikipedia and cited 18 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 | Russian: #25991 04.2008 |
Global: #393747 05.2016 |
| Best Rank | Russian: #9129 02.2009 |
Global: #345172 02.2009 |
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 Russian Wikipedia the most popular articles on that day were: Яндекс, Новая Каледония, Станкович, Деян, YouTube, Белоусов, Андрей Рэмович, Дюмин, Алексей Геннадьевич, Ясукэ, Андрияка, Сергей Николаевич, Шойгу, Сергей Кужугетович, Фицо, Роберт.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(5.89+0+0+5+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
