Wat Intharam - Buddhist temple in Nakhon Sawan province, Thailand. Article "วัดอินทาราม (จังหวัดนครสวรรค์)" in Thai Wikipedia has 30.9 points for quality (as of August 1, 2024). The article contains 8 references and 9 sections.
Since the creation of article "วัดอินทาราม (จังหวัดนครสวรรค์)", its content was written by 7 registered users of Thai Wikipedia and edited by 7 registered Wikipedia users in all languages.
The article is cited 9 times in Thai Wikipedia and cited 9 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: #44089 03.2022 |
Global: #3853919 03.2022 |
On 10 October 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Han Kang, Lyle and Erik Menendez, Rafael Nadal, Sean Combs, George Baldock, Ratan Tata, Hurricane Katrina, Hurricane Milton, Joker: Folie à Deux, Ethel Skakel Kennedy.
In Thai Wikipedia the most popular articles on that day were: องค์การกระจายเสียงและแพร่ภาพสาธารณะแห่งประเทศไทย, กันต์ กันตถาวร, อสมท, พิเศษ:ค้นหา, ป๊อกเด้ง, ธี่หยด 2, ทองประกายแสด, พีชญา วัฒนามนตรี, ยุรนันท์ ภมรมนตรี, อนงค์ (ภาพยนตร์ไทย).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(8.95+7.14+20+45+73.47)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
