volksfreund.de

Trierischer Volksfreund is the periodical.

Multilingual Wikipedia

In June 2020 the website volksfreund.de was on the 9,017th 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 8,189th place in June 2020. From Wikipedians' point of view, "volksfreund.de" is the 4,858th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before idg.com.au and after invenglobal.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
9,017th place
3,324,686
-263,000
AR-score:
4,858th place
956,470
-1,066
F-score:
8,189th place
1,537
+12

German Wikipedia (de)

PR-score:
652nd place
3,131,629
-252,372
AR-score:
361st place
909,403
-1,497
F-score:
511th place
1,339
+9

English Wikipedia (en)

PR-score:
64,766th place
159,675
-11,135
AR-score:
49,624th place
25,867
+257
F-score:
34,677th place
86
+1

Russian Wikipedia (ru)

PR-score:
88,564th place
9,862
+3,168
AR-score:
69,962nd place
1,791
+221
F-score:
56,939th place
7
+1

French Wikipedia (fr)

PR-score:
91,391st place
6,621
+2,031
AR-score:
36,943rd place
4,996
+223
F-score:
31,405th place
16
+1

Thai Wikipedia (th)

PR-score:
9,759th place
3,710
+270
AR-score:
13,223rd place
520
-440
F-score:
25,338th place
1
0

Dutch Wikipedia (nl)

PR-score:
33,723rd place
1,637
-84
AR-score:
19,422nd place
1,833
+14
F-score:
7,902nd place
9
0

Luxembourgish Wikipedia (lb)

PR-score:
390th place
1,513
-577
AR-score:
401st place
2,540
+1
F-score:
179th place
16
0

Italian Wikipedia (it)

PR-score:
125,157th place
1,198
-392
AR-score:
46,304th place
2,633
+106
F-score:
43,856th place
6
0

Polish Wikipedia (pl)

PR-score:
86,488th place
943
-1,391
AR-score:
22,367th place
3,048
0
F-score:
34,454th place
6
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...