Article "حارثہ بن صمہ" in Urdu Wikipedia has 22.7 points for quality (as of August 1, 2024). The article contains 2 references and 7 sections.
Since the creation of article "حارثہ بن صمہ", its content was written by 2 registered users of Urdu Wikipedia and edited by 2 registered Wikipedia users in all languages.
The article is cited 824 times in Urdu Wikipedia (2577th place) and cited 824 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: #3378 09.2021 |
Global: #3913347 09.2021 |
| Best Rank | Urdu: #2281 10.2023 |
Global: #959124 02.2024 |
On 1 February 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Donald Trump, Marianne Faithfull, O. J. Simpson, Neymar, Israel Adesanya, Nassourdine Imavov, Royal Rumble (2025): The Death of Professional Wrestling, Elon Musk, Karla Sofía Gascón, Emilia Pérez.
In Urdu Wikipedia the most popular articles on that day were: حسین بن علی, ابو حنیفہ, تفسیر جلالین, انا لله و انا الیه راجعون, محمد بن اسماعیل بخاری, یوم یکجہتی کشمیر, غزوہ بدر, عمر بن خطاب, صحیح بخاری, مسلم بن الحجاج.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.95+1.72+45+25.93+35.8)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
