lmda.net

Multilingual Wikipedia

In June 2020 the website lmda.net was on the 50,105th 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 25,513th place in June 2020. From Wikipedians' point of view, "lmda.net" is the 26,616th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before khabarhub.com and after hms-victory.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
50,105th place
443,352
+1,195
AR-score:
26,616th place
132,145
+454
F-score:
25,513th place
396
+11

French Wikipedia (fr)

PR-score:
2,975th place
435,755
+1,849
AR-score:
2,203rd place
127,369
+411
F-score:
2,287th place
364
+11

English Wikipedia (en)

PR-score:
775,321st place
2,774
+233
AR-score:
532,982nd place
1,362
+32
F-score:
162,038th place
13
0

Italian Wikipedia (it)

PR-score:
91,511th place
2,636
-796
AR-score:
97,013th place
904
+3
F-score:
55,013th place
4
0

Spanish Wikipedia (es)

PR-score:
205,225th place
997
-236
AR-score:
153,070th place
530
0
F-score:
105,695th place
3
0

German Wikipedia (de)

PR-score:
276,544th place
712
+174
AR-score:
139,135th place
1,388
0
F-score:
81,677th place
5
0

Haitian Wikipedia (ht)

PR-score:
664th place
173
-27
AR-score:
492nd place
186
0
F-score:
510th place
2
0

Persian Wikipedia (fa)

PR-score:
59,164th place
125
-7
AR-score:
75,450th place
22
0
F-score:
39,970th place
1
0

Catalan Wikipedia (ca)

PR-score:
71,929th place
83
+58
AR-score:
112,360th place
41
+8
F-score:
119,097th place
1
0

Czech Wikipedia (cs)

PR-score:
84,687th place
50
-50
AR-score:
49,870th place
250
0
F-score:
84,692nd place
1
0

Arabic Wikipedia (ar)

PR-score:
150,992nd place
44
-3
AR-score:
142,304th place
89
0
F-score:
65,597th place
2
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...