Article "रेशे तथा उनका न्यायालयिक विज्ञान मे उपयोग" in Hindi Wikipedia has 1.4 points for quality (as of August 1, 2024).
In July 2024 the article "रेशे तथा उनका न्यायालयिक विज्ञान मे उपयोग" was edited by 1 authors in Hindi Wikipedia and written by 1 authors in all languages.
Since the creation of article "रेशे तथा उनका न्यायालयिक विज्ञान मे उपयोग", its content was written by 6 registered users of Hindi Wikipedia and edited by 6 registered Wikipedia users 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 | Hindi: #31782 01.2017 |
Global: #4674995 02.2020 |
On 7 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Elon Musk, Donald Trump, Bianca Censori, Kanye West, Cristiano Ronaldo, United States Agency for International Development, deaths in 2025, Karla Sofía Gascón, Benson Boone, Irv Gotti.
In Hindi Wikipedia the most popular articles on that day were: सनम तेरी कसम (2016 फ़िल्म), रमाबाई आम्बेडकर, कुम्भ मेला, हनुमान चालीसा, भारत की पंचवर्षीय योजनाएँ, क्लियोपाट्रा ७, दासुन शनाका, महाकुंभ, (प्रयागराज)2025, हिन्दी की गिनती, भारत का ध्वज.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(6.98+0+0+0+0)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
