Article "Armed Forces Health Longitudinal Technology Application" in English Wikipedia has 16.6 points for quality (as of August 1, 2024). The article contains 4 references and 6 sections.
Since the creation of article "Armed Forces Health Longitudinal Technology Application", its content was written by 21 registered users of English Wikipedia and edited by 21 registered Wikipedia users in all languages.
The article is cited 72 times in English Wikipedia and cited 72 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: #480727 04.2015 |
Global: #825224 04.2015 |
| Best Rank | English: #247204 08.2014 |
Global: #626337 06.2018 |
On 28 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Myanmar, Adolescence, Greenland, Solar eclipse of March 29, 2025, Snow White, Rachel Zegler, deaths in 2025, Incel, Selena, Usha Vance.
In English Wikipedia the most popular articles on that day were: Adolescence (TV series), Snow White (2025 film), L2: Empuraan, Natalia Grace, Hilaria Baldwin, Rachel Zegler, Good American Family, Selena, Yolanda Saldívar, Deaths in 2025.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(18.2+3.28+0+42.86+18.55)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
