Article "ถนนเจ้าคุณทหาร" in Thai Wikipedia has 5.2 points for quality (as of August 1, 2024). The article also contains quality flaw template, which reduce quality score.
Since the creation of article "ถนนเจ้าคุณทหาร", its content was written by 6 registered users of Thai Wikipedia and edited by 6 registered Wikipedia users in all languages.
The article is cited 29 times in Thai Wikipedia and cited 29 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 | Thai: #21315 03.2008 |
Global: #3090245 01.2008 |
On 26 December 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Squid Game, Boxing Day, 2004 Indian Ocean earthquake, Squid Game, season 2, Hanukkah, Azerbaijan Airlines Flight 8243, Empress Elisabeth of Austria, Nosferatu, Mufasa: The Lion King, Gladiator II.
In Thai Wikipedia the most popular articles on that day were: องค์การกระจายเสียงและแพร่ภาพสาธารณะแห่งประเทศไทย, พิเศษ:ค้นหา, อสมท, คริสต์มาส, ประพาศ ศกุนตนาค, สควิดเกม เล่นลุ้นตาย, ซานตาคลอส, พิมพ์แข กุญชร ณ อยุธยา, รามณรงค์ เสวกวิหารี, พระบาทสมเด็จพระจุลจอมเกล้าเจ้าอยู่หัว.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(2.11+0+20+5+0)-0.27$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
