tata.in

Multilingual Wikipedia

In June 2020 the website tata.in was on the 82,841st 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 178,735th place in June 2020. From Wikipedians' point of view, "tata.in" is the 98,560th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before icrw.org and after livefilestore.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
82,841st place
244,529
-67,256
AR-score:
98,560th place
27,596
+546
F-score:
178,735th place
35
0

English Wikipedia (en)

PR-score:
51,490th place
210,008
-66,909
AR-score:
53,759th place
23,530
+526
F-score:
106,687th place
21
0

German Wikipedia (de)

PR-score:
42,773rd place
30,028
+3,928
AR-score:
103,954th place
2,057
0
F-score:
256,767th place
1
0

Bulgarian Wikipedia (bg)

PR-score:
15,540th place
1,333
-1,567
AR-score:
14,515th place
666
0
F-score:
24,221st place
1
0

Russian Wikipedia (ru)

PR-score:
208,738th place
1,012
-244
AR-score:
254,919th place
112
0
F-score:
117,299th place
3
0

Malayalam Wikipedia (ml)

PR-score:
3,323rd place
880
-620
AR-score:
5,985th place
420
0
F-score:
8,560th place
2
0

Ukrainian Wikipedia (uk)

PR-score:
46,187th place
766
-1,567
AR-score:
54,620th place
300
0
F-score:
87,177th place
1
0

Tamil Wikipedia (ta)

PR-score:
9,264th place
337
-297
AR-score:
7,721st place
414
0
F-score:
7,490th place
3
0

Italian Wikipedia (it)

PR-score:
207,919th place
138
+18
AR-score:
241,626th place
35
0
F-score:
199,161st place
1
0

Hindi Wikipedia (hi)

PR-score:
27,657th place
20
0
AR-score:
21,886th place
60
+20
F-score:
28,431st place
1
0

Sinhalese Wikipedia (si)

PR-score:
6,533rd place
3
0
AR-score:
6,763rd place
0
0
F-score:
6,081st 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...