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lawmin.nic.in

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Multilingual Wikipedia

In June 2020 the website lawmin.nic.in was on the 6,867th 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 15,499th place in June 2020. From Wikipedians' point of view, "lawmin.nic.in" is the 9,805th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before islamqa.info and after nextmag.com.tw in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
6,867th place
4,541,284
-428,132
AR-score:
9,805th place
432,079
-3,293
F-score:
15,499th place
725
+2

English Wikipedia (en)

PR-score:
4,243rd place
3,896,489
-149,696
AR-score:
5,745th place
320,044
-1,858
F-score:
12,014th place
313
-2

Japanese Wikipedia (ja)

PR-score:
9,132nd place
157,308
-12,937
AR-score:
18,198th place
5,631
+10
F-score:
42,234th place
7
0

Chinese Wikipedia (zh)

PR-score:
10,116th place
78,254
+20,306
AR-score:
19,264th place
3,013
+320
F-score:
15,822nd place
15
+3

French Wikipedia (fr)

PR-score:
14,308th place
74,292
-35,474
AR-score:
15,203rd place
13,180
+32
F-score:
13,448th place
43
0

Swedish Wikipedia (sv)

PR-score:
2,498th place
44,838
-111,165
AR-score:
4,403rd place
9,796
+2
F-score:
18,705th place
4
0

Finnish Wikipedia (fi)

PR-score:
4,259th place
18,468
-27,529
AR-score:
3,188th place
12,215
-2,117
F-score:
10,468th place
12
0

Afrikaans Wikipedia (af)

PR-score:
175th place
17,634
+3,920
AR-score:
241st place
8,723
-84
F-score:
635th place
22
0

Tamil Wikipedia (ta)

PR-score:
451st place
13,421
-933
AR-score:
808th place
4,916
0
F-score:
795th place
39
0

Malayalam Wikipedia (ml)

PR-score:
281st place
13,155
+2,963
AR-score:
872nd place
3,616
+12
F-score:
1,093rd place
19
0
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About the project

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...

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