Article "محمد حمید جان سیفی" in Urdu Wikipedia has 7.7 points for quality (as of November 1, 2023). The article contains 0 references and 9 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "محمد حمید جان سیفی", its content was written by 5 registered users of Urdu Wikipedia and edited by 5 registered Wikipedia users in all languages.
The article is cited 4 times in Urdu Wikipedia and cited 4 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 | Urdu: #5484 11.2021 |
Global: #5109346 11.2021 |
On 4 June 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Kylian Mbappé, Claudia Sheinbaum, ChatGPT, 1989 Tiananmen Square protests and massacre, Jannik Sinner, YouTube, UEFA Euro 2024, June 4, Carlos Alcaraz, Real Madrid CF.
In Urdu Wikipedia the most popular articles on that day were: حمود الرحمن کمیشن رپورٹ, آیزو 3166-1, انا لله و انا الیه راجعون, بھارت کے عام انتخابات، 2024ء, ابراہیم (اسلام), غزوہ بدر, محمد بن عبد اللہ, عمر بن خطاب, سید احمد خان, قرآنی سورتوں کی فہرست.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(8.22+0+0+32.14+0)-0.4$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
