panarmenian.net

PanARMENIAN.Net is the first Armenian online news agency, an internet portal based in Yerevan, Armenia. More information...

Multilingual Wikipedia

In June 2020 the website panarmenian.net was on the 10,975th place in the ranking of the most reliable and popular sources 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 website was on the 4,647th place in June 2020. From Wikipedians' point of view, "panarmenian.net" is the 6,260th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before biostor.org and after rgo.ru in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
10,975th place
2,660,208
-444,615
AR-score:
6,260th place
716,456
-293
F-score:
4,647th place
2,890
+12

English Wikipedia (en)

PR-score:
10,595th place
1,353,169
-283,108
AR-score:
6,174th place
294,414
+203
F-score:
6,271st place
675
-2

Russian Wikipedia (ru)

PR-score:
2,684th place
758,613
-18,796
AR-score:
1,464th place
145,976
+503
F-score:
1,916th place
395
+7

Armenian Wikipedia (hy)

PR-score:
70th place
137,550
-42,505
AR-score:
93rd place
87,069
+452
F-score:
169th place
503
+5

German Wikipedia (de)

PR-score:
22,862nd place
63,942
+6,692
AR-score:
9,865th place
26,397
+21
F-score:
11,207th place
46
0

Portuguese Wikipedia (pt)

PR-score:
10,753rd place
59,146
+14,591
AR-score:
15,318th place
5,453
+28
F-score:
8,064th place
38
0

Persian Wikipedia (fa)

PR-score:
8,916th place
9,662
+353
AR-score:
2,764th place
9,329
+51
F-score:
973rd place
96
0

Italian Wikipedia (it)

PR-score:
44,643rd place
9,624
-2,320
AR-score:
9,004th place
16,209
+64
F-score:
4,653rd place
81
0

Georgian Wikipedia (ka)

PR-score:
3,282nd place
1,858
-1,264
AR-score:
1,210th place
2,581
0
F-score:
256th place
101
0
Show all Wikipedia languages...

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...