lieder.net

The LiederNet Archive is a donation-supported web archive of art song and choral texts founded in 1995 by Emily Ezust, an American/Canadian computer programmer and amateur violinist. The website was hosted by the REC Music Foundation from 1996 to 2015. More information...

Multilingual Wikipedia

In June 2020 the website lieder.net was on the 16,339th 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 19,338th place in June 2020. From Wikipedians' point of view, "lieder.net" is the 18,921st most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before cem.es and after dhxmedia.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
16,339th place
1,661,657
-311,924
AR-score:
18,921st place
196,408
+5,133
F-score:
19,338th place
554
+17

English Wikipedia (en)

PR-score:
12,203rd place
1,151,068
-27,678
AR-score:
13,126th place
123,025
+4,541
F-score:
11,898th place
317
+8

German Wikipedia (de)

PR-score:
5,082nd place
335,572
-244,040
AR-score:
6,765th place
40,125
+48
F-score:
8,244th place
65
+3

French Wikipedia (fr)

PR-score:
12,060th place
90,071
-26,018
AR-score:
11,521st place
18,077
+110
F-score:
11,922nd place
50
0

Russian Wikipedia (ru)

PR-score:
38,822nd place
36,181
-7,418
AR-score:
35,382nd place
4,228
-12
F-score:
54,970th place
7
0

Spanish Wikipedia (es)

PR-score:
73,373rd place
13,077
-5,510
AR-score:
92,972nd place
1,311
+80
F-score:
42,212th place
9
+2

Catalan Wikipedia (ca)

PR-score:
5,555th place
5,254
-6,086
AR-score:
5,954th place
4,403
+34
F-score:
2,749th place
52
0

Italian Wikipedia (it)

PR-score:
106,242nd place
1,856
+1,277
AR-score:
89,519th place
1,044
+266
F-score:
29,147th place
10
+3
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...