TMP-HTag - small molecule chemical linker. Article “TMP-HTag” in English Wikipedia has 33 points for quality (as of July 1, 2026). The article contains 21 references and 3 sections.
In June 2026 the article “TMP-HTag” was edited by 1 authors in English Wikipedia and written by 1 authors in all languages.
Since the creation of article “TMP-HTag”, its content was written by 7 registered users of English Wikipedia and edited by 7 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: #3560005 04.2023 |
Global: #6621099 04.2023 |
| Best Rank | English: #26460 04.2023 |
Global: #107032 04.2023 |
On 1 July 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2026 FIFA World Cup, Kylian Mbappé, Erling Haaland, Democratic Republic of the Congo, FIFA World Cup, Harry Kane, Romelu Lukaku, Senegal, Michael Olise, Sadio Mané.
In English Wikipedia the most popular articles on that day were: 2026 FIFA World Cup, Harry Kane, Julián Quiñones, List of FIFA World Cup top goalscorers, Kylian Mbappé, Democratic Republic of the Congo, Erling Haaland, DR Congo national football team, Melat Kiros, FIFA World Cup.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(12.33+16.8+14.29+21.43+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
