Article “臺北市第一殯儀館” in Chinese Wikipedia has 36.9 points for quality (as of July 1, 2025). The article contains 9 references and 8 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 1.94 points.
Since the creation of article “臺北市第一殯儀館”, its content was written by 38 registered users of Chinese Wikipedia and edited by 38 registered Wikipedia users in all languages.
MSO-FFP is on the 616th place in local ranking of buildings on Chinese Wikipedia in all the time.
The article is cited 71 times in Chinese Wikipedia and cited 71 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 July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Chinese: #3143 05.2008 |
Global: #228530 01.2025 |
On 26 September 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Claudia Cardinale, One Battle After Another, ChatGPT, Alice in Borderland, Guinness, deaths in 2025, Benjamin Netanyahu, Assata Shakur, Charlie Kirk, Arthur Guinness.
In Chinese Wikipedia the most popular articles on that day were: 于朦胧, 今際之國的闖關者 (電視劇), 堰塞湖, BOYS II PLANET, 暴君的廚師, 鏈鋸人, 宋伊人, 颱風樺加沙, 馬太鞍溪堰塞湖溢流, 傅崐萁.
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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(18.13+8.91+50+66.67+50.31)-1.94$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
