Östersunds-Posten, simply ÖP, is a Swedish language local newspaper published in Östersund, Sweden. More information...

Multilingual Wikipedia

In June 2020 the website op.se was on the 49,839th 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 16,626th place in June 2020. From Wikipedians' point of view, "op.se" is the 18,916th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before dogster.com and after prayerbook.ca in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
49,839th place
446,249
-63,750
AR-score:
18,916th place
196,477
+4,736
F-score:
16,626th place
666
+9

Swedish Wikipedia (sv)

PR-score:
457th place
289,556
-69,450
AR-score:
451st place
135,806
+4,113
F-score:
535th place
328
+9

English Wikipedia (en)

PR-score:
78,335th place
127,109
+5,349
AR-score:
38,425th place
35,099
+350
F-score:
17,507th place
199
0

German Wikipedia (de)

PR-score:
93,430th place
9,859
+3,402
AR-score:
54,339th place
4,389
+198
F-score:
35,157th place
13
0

Norwegian Wikipedia (no)

PR-score:
6,179th place
5,841
-156
AR-score:
3,951st place
7,070
0
F-score:
4,601st place
17
0

Russian Wikipedia (ru)

PR-score:
141,019th place
3,469
-602
AR-score:
99,638th place
1,065
0
F-score:
38,552nd place
12
0

French Wikipedia (fr)

PR-score:
171,051st place
1,854
+236
AR-score:
39,243rd place
4,670
+3
F-score:
43,593rd place
11
0

Italian Wikipedia (it)

PR-score:
127,690th place
1,120
+410
AR-score:
60,842nd place
1,858
-10
F-score:
20,249th place
15
0

Arabic Wikipedia (ar)

PR-score:
82,155th place
337
-179
AR-score:
33,320th place
1,135
0
F-score:
9,150th place
23
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...