I'm Not Who You Think I Am - book by Peg Kehret. Article "I'm Not Who You Think I Am" in English Wikipedia has 18.8 points for quality (as of August 1, 2024). The article contains 3 references and 3 sections.
Since the creation of article "I'm Not Who You Think I Am", its content was written by 34 registered users of English Wikipedia and edited by 34 registered Wikipedia users in all languages.
The article is cited 1 times in English Wikipedia and cited 1 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 | English: #1102945 01.2008 |
Global: #1760038 01.2008 |
| Best Rank | English: #124513 12.2016 |
Global: #287471 09.2005 |
On 15 January 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Squid Game, Elon Musk, Squid Game, season 2, deaths in 2025, ChatGPT, Nosferatu, Donald Trump, Neil Gaiman, Pete Hegseth, Greenland.
In English Wikipedia the most popular articles on that day were: Pam Bondi, Pete Hegseth, Linda Nolan, Kumbh Mela, ASEAN, Neil Gaiman, Deaths in 2025, Game Changer (film), Tony Slattery, The Nolans.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.98+2.46+14.29+21.43+50.84)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
