Sheesh Naag - 1985 Pakistani film. Article "شیش ناگ (پنجابی فلم)" in Urdu Wikipedia has 7.3 points for quality (as of August 1, 2024). The article contains 1 references and 2 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "شیش ناگ (پنجابی فلم)", its content was written by 2 registered users of Urdu Wikipedia and edited by 2 registered Wikipedia users in all languages.
Sheesh Naag is on the 214th place in local ranking of films on Urdu Wikipedia in all the time.
The article is cited 28 times in Urdu Wikipedia and cited 28 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 | Urdu: #8135 11.2020 |
Global: #5989476 11.2020 |
On 28 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Myanmar, Adolescence, Greenland, Solar eclipse of March 29, 2025, Snow White, Rachel Zegler, deaths in 2025, Incel, Selena, Usha Vance.
In Urdu Wikipedia the most popular articles on that day were: قانون توہین رسالت (پاکستان), جمعۃ الوداع, عید الفطر, یوم القدس, لیلۃ الجائزہ, انا لله و انا الیه راجعون, شب قدر, صلاۃ التسبیح, علی ابن ابی طالب, محمد بن عبد اللہ.
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
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
