A relational model of data for large shared data banks in June 2020

Multilingual Wikipedia

In June 2020 the work A relational model of data for large shared data banks was on the 46th 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 2,275th place in June 2020. From Wikipedians' point of view, "A relational model of data for large shared data banks" is the 100th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
46th place
1,961,007
-140,825
AR-score:
100th place
116,179
+5,652
F-score:
2,275th place
80
+7

English Wikipedia

PR-score:
40th place
1,494,523
-97,146
AR-score:
64th place
82,161
+5,978
F-score:
1,523rd place
40
+8

French Wikipedia

PR-score:
62nd place
149,916
-13,403
AR-score:
60th place
12,444
0
F-score:
8,081st place
3
0

Japanese Wikipedia

PR-score:
539th place
81,150
+700
AR-score:
456th place
3,250
0
F-score:
24,423rd place
1
0

Korean Wikipedia

PR-score:
58th place
69,789
-4,422
AR-score:
146th place
3,413
0
F-score:
770th place
6
0

Chinese Wikipedia

PR-score:
572nd place
50,271
-2,350
AR-score:
2,524th place
971
0
F-score:
20,150th place
1
0

Vietnamese Wikipedia

PR-score:
149th place
23,756
-3,402
AR-score:
623rd place
1,089
0
F-score:
1,059th place
6
0

Arabic Wikipedia

PR-score:
759th place
13,201
+2,580
AR-score:
363rd place
2,435
0
F-score:
4,848th place
3
0

Simple English Wikipedia

PR-score:
77th place
13,147
-11,900
AR-score:
86th place
3,927
0
F-score:
280th place
3
0
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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. 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).

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