Haig Fund - charity to support British ex-servicemen. Article "Haig Fund" in English Wikipedia has 19.9 points for quality (as of November 1, 2023). The article contains 3 references and 5 sections.
Since the creation of article "Haig Fund", its content was written by 24 registered users of English Wikipedia and edited by 24 registered Wikipedia users in all languages.
The article is cited 15 times in English Wikipedia and cited 15 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 November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | English: #216170 11.2011 |
Global: #371571 11.2011 |
| Best Rank | English: #83927 03.2005 |
Global: #161472 03.2005 |
On 27 July 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2024 Summer Olympics, Céline Dion, Olympic Games, Kamala Harris, stiff-person syndrome, Deadpool & Wolverine, 2020 Summer Olympics, Aya Nakamura, Lady Gaga, Marie Antoinette.
In English Wikipedia the most popular articles on that day were: Deadpool & Wolverine, 2024 Summer Olympics, Celine Dion, Kamala Harris, List of Olympic Games host cities, Stiff-person syndrome, Katie Ledecky, Lady Gaga, Aya Nakamura, Simone Biles.
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 November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.49+2.48+0+35.71+56.76)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
