finngraven.se

FinnGraven.se is the Website for graves in Sweden.

Multilingual Wikipedia

In June 2020 the website finngraven.se was on the 53,178th 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 17,230th place in June 2020. From Wikipedians' point of view, "finngraven.se" is the 12,429th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before neu.edu.tr and after crn.pl in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
53,178th place
413,518
-155,025
AR-score:
12,429th place
327,287
+3,268
F-score:
17,230th place
636
+15

Swedish Wikipedia (sv)

PR-score:
335th place
384,326
-106,680
AR-score:
217th place
322,953
+2,716
F-score:
327th place
572
+11

German Wikipedia (de)

PR-score:
56,228th place
20,911
-47,094
AR-score:
163,494th place
1,075
+350
F-score:
108,853rd place
4
+1

English Wikipedia (en)

PR-score:
559,135th place
6,586
-1,200
AR-score:
442,293rd place
1,806
+63
F-score:
60,467th place
43
+2

Russian Wikipedia (ru)

PR-score:
234,465th place
635
-200
AR-score:
222,655th place
185
0
F-score:
242,182nd place
1
0

Ukrainian Wikipedia (uk)

PR-score:
61,791st place
386
+216
AR-score:
30,346th place
766
+125
F-score:
35,613th place
4
+1

Norwegian Wikipedia (no)

PR-score:
31,471st place
358
+75
AR-score:
37,403rd place
350
0
F-score:
32,579th place
2
0

Spanish Wikipedia (es)

PR-score:
281,675th place
208
-163
AR-score:
259,634th place
124
+14
F-score:
47,120th place
8
0

Finnish Wikipedia (fi)

PR-score:
79,463rd place
100
+20
AR-score:
99,761st place
20
0
F-score:
100,256th place
1
0

Galician Wikipedia (gl)

PR-score:
41,503rd place
5
0
AR-score:
42,904th place
5
0
F-score:
42,532nd place
1
0

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...