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Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany

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Multilingual Wikipedia

In June 2020 the work Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany was on the 3,742nd 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 4,691st place in June 2020. From Wikipedians' point of view, "Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany" is the 11,614th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
3,742nd place
260,146
-197,775
AR-score:
11,614th place
9,512
+107
F-score:
4,691st place
53
0

French Wikipedia (fr)

PR-score:
626th place
47,544
-61,905
AR-score:
2,787th place
2,065
+4
F-score:
3,396th place
6
0

Bulgarian Wikipedia (bg)

PR-score:
48th place
41,322
-20,218
AR-score:
137th place
1,475
0
F-score:
443rd place
3
0

Czech Wikipedia (cs)

PR-score:
116th place
39,425
-22,126
AR-score:
67th place
4,006
0
F-score:
2,044th place
2
0

Japanese Wikipedia (ja)

PR-score:
2,130th place
31,375
-25,540
AR-score:
17,378th place
173
-9
F-score:
61,850th place
1
0

Russian Wikipedia (ru)

PR-score:
4,231st place
18,590
-17,600
AR-score:
35,054th place
93
+3
F-score:
66,263rd place
1
0

Turkish Wikipedia (tr)

PR-score:
399th place
9,003
-8,948
AR-score:
3,489th place
178
+4
F-score:
11,812th place
1
0

Persian Wikipedia (fa)

PR-score:
658th place
6,472
-4,344
AR-score:
1,458th place
506
+11
F-score:
795th place
4
0

Arabic Wikipedia (ar)

PR-score:
4,835th place
3,079
-1,461
AR-score:
49,381st place
62
+2
F-score:
4,208th place
4
0

Haitian Wikipedia (ht)

PR-score:
5th place
505
-384
AR-score:
146th place
7
0
F-score:
9th place
4
0
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About the project

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...

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