Megumi Tanaka - Japanese tarento. Article “田中めぐみ (フリーアナウンサー)” in Japanese Wikipedia has 30.3 points for quality (as of July 1, 2025). The article contains 29 references and 15 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 3.36 points.
Since the creation of article “田中めぐみ (フリーアナウンサー)”, its content was written by 12 registered users of Japanese Wikipedia and edited by 12 registered Wikipedia users in all languages.
The article is cited 497 times in Japanese Wikipedia and cited 497 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 | Japanese: #191944 01.2024 |
Global: #1478257 09.2021 |
| Best Rank | Japanese: #4937 05.2015 |
Global: #283991 05.2015 |
On 7 October 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ed Gein, Ilse Koch, Lizzie Borden, Anthony Perkins, Monster: The Ed Gein Story, Greta Thunberg, Richard Speck, Psycho, ChatGPT, Charlie Hunnam.
In Japanese Wikipedia the most popular articles on that day were: 高市早苗, 坂口志文, 影山雅永, 山瀬まみ, 鈴木俊一 (衆議院議員), 麻生太郎, 江口寿史, 有村治子, 伊藤義弘, 山本拓 (政治家).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(9.35+10.47+0+48.39+100)-3.36$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
