Q&A: The novel coronavirus outbreak causing COVID-19

Multilingual Wikipedia

In June 2020 the work Q&A: The novel coronavirus outbreak causing COVID-19 was on the 10,368th 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 14,778th place in June 2020. From Wikipedians' point of view, "Q&A: The novel coronavirus outbreak causing COVID-19" is the 384,307th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
10,368th place
146,347
-123,169
AR-score:
384,307th place
678
-12
F-score:
14,778th place
27
0

English Wikipedia (en)

PR-score:
12,377th place
99,073
-102,469
AR-score:
557,486th place
267
-15
F-score:
121,928th place
4
0

Chinese Wikipedia (zh)

PR-score:
1,382nd place
27,542
-5,387
AR-score:
18,593rd place
153
-1
F-score:
61,989th place
1
0

French Wikipedia (fr)

PR-score:
10,680th place
5,827
-6,418
AR-score:
50,878th place
89
+1
F-score:
79,376th place
1
0

Indonesian Wikipedia (id)

PR-score:
907th place
5,005
-3,672
AR-score:
15,017th place
27
0
F-score:
22,683rd place
1
0

Arabic Wikipedia (ar)

PR-score:
3,585th place
3,975
-1,233
AR-score:
82,778th place
17
+1
F-score:
90,427th place
1
0

Hungarian Wikipedia (hu)

PR-score:
1,823rd place
1,786
-2,712
AR-score:
9,645th place
41
+1
F-score:
14,706th place
1
0

Kannada Wikipedia (kn)

PR-score:
187th place
272
-98
AR-score:
4,421st place
7
0
F-score:
797th place
2
0

Assamese Wikipedia (as)

PR-score:
177th place
261
-219
AR-score:
881st place
11
-1
F-score:
226th place
2
0

Galician Wikipedia (gl)

PR-score:
1,425th place
214
-121
AR-score:
25,093rd place
8
+1
F-score:
7,327th place
2
0

Khmer Wikipedia (km)

PR-score:
152nd place
64
-17
AR-score:
216th place
1
+1
F-score:
55th place
2
0
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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...