A Universally Unique IDentifier (UUID) URN Namespace
Multilingual Wikipedia
In June 2020 the work A Universally Unique IDentifier (UUID) URN Namespace was on the 48th place in the ranking of the most reliable and popular publications with DOI number in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this work was on the 47,240th place in June 2020. From Wikipedians' point of view, "A Universally Unique IDentifier (UUID) URN Namespace" is the 3,351st most reliable publication with DOI number in different language versions of Wikipedia (AR-score).
48th place 3,351st place
47,240th placeEnglish Wikipedia (en)
22nd place 1,414th place 13,278th placeWikipedia Languages
- ar Arabic
- az Azerbaijani
- be Belarusian
- bg Bulgarian
- ca Catalan
- cs Czech
- da Danish
- de German
- el Greek
- en English
- eo Esperanto
- es Spanish
- et Estonian
- eu Basque
- fa Persian
- fi Finnish
- fr French
- gl Galician
- he Hebrew
- hi Hindi
- hr Croatian
- hu Hungarian
- hy Armenian
- id Indonesian
- it Italian
- ja Japanese
- ka Georgian
- kk Kazakh
- ko Korean
- la Latin
- lt Lithuanian
- ms Malay
- nl Dutch
- nn Norwegian (Nynorsk)
- no Norwegian
- pl Polish
- pt Portuguese
- ro Romanian
- ru Russian
- sh Serbo-Croatian
- simple Simple English
- sk Slovak
- sl Slovenian
- sr Serbian
- sv Swedish
- ta Tamil
- th Thai
- tr Turkish
- uk Ukrainian
- ur Urdu
- uz Uzbek
- vi Vietnamese
- vo Volapük
- zh Chinese
- zh-min-nan Min Nan
- More languages...
About project
Popularity and reliability assessment of sources in references of Wikipedia in different languages. Data extraction based on complex method using Wikimedia dumps in July 2020. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details in the research "Modeling Popularity and Reliability of Sources in Multilingual Wikipedia". Values for PR-score and AR-score were additinaly increased 100 times (to distinguish smaller values in the ranking).