Epiphenotyping - use of DNA methylation patterns to predict phenotypes. Article “Epiphenotyping” in English Wikipedia has 72.9 points for quality (as of July 1, 2026). The article contains 85 references and 14 sections.
Since the creation of article “Epiphenotyping”, its content was written by 15 registered users of English Wikipedia and edited by 15 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 July 1, 2026 (including revision history and pageviews for previous years).
| Best Rank | English: #2701203 03.2025 |
Global: #4785493 03.2025 |
| Best Rank | English: #54515 03.2024 |
Global: #190813 03.2024 |
On 27 May 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Eid al-Adha, 2026 FIFA World Cup, Crystal Palace F.C., Michael Jackson, Anthony Gordon (footballer), Rayo Vallecano, UEFA Conference League, Spider-Noir, Deaths in 2026, Backrooms (film).
In English Wikipedia the most popular articles on that day were: Obsession (2025 film), Ken Paxton, Eid al-Adha, Spider-Noir, Deaths in 2026, Backrooms (film), 2026 FIFA World Cup, Rayo Vallecano, .xxx, 007 First Light.
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 50 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2026. When calculating current popularity and AI of articles data from June 2026 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2026... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(87.04+68+28.57+100+80.94)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
