intoday.in

Multilingual Wikipedia

In June 2020 the website intoday.in was on the 546th 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 775th place in June 2020. From Wikipedians' point of view, "intoday.in" is the 628th most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
546th place
66,894,671
+556,466
AR-score:
628th place
7,733,106
+24,358
F-score:
775th place
19,269
+73

English Wikipedia (en)

PR-score:
323rd place
62,973,771
+639,962
AR-score:
298th place
6,559,967
-21,276
F-score:
463rd place
9,970
-25

Hindi Wikipedia (hi)

PR-score:
8th place
1,394,108
+273,482
AR-score:
14th place
411,429
+38,473
F-score:
24th place
1,150
+22

Russian Wikipedia (ru)

PR-score:
4,540th place
434,224
-155,358
AR-score:
3,913th place
50,644
+596
F-score:
2,094th place
363
0

Chinese Wikipedia (zh)

PR-score:
3,337th place
290,967
+67,302
AR-score:
4,641st place
15,408
+107
F-score:
1,987th place
182
+2

German Wikipedia (de)

PR-score:
6,876th place
242,266
+60,971
AR-score:
5,215th place
54,041
+142
F-score:
4,170th place
144
0

French Wikipedia (fr)

PR-score:
6,382nd place
183,955
-65,553
AR-score:
4,404th place
55,737
+386
F-score:
3,722nd place
204
+1

Bengali Wikipedia (bn)

PR-score:
81st place
118,791
-1,108
AR-score:
87th place
62,874
+657
F-score:
62nd place
894
+7

Tamil Wikipedia (ta)

PR-score:
90th place
75,899
-18,426
AR-score:
86th place
54,722
+452
F-score:
64th place
536
+2

Indonesian Wikipedia (id)

PR-score:
1,594th place
66,111
-10,879
AR-score:
630th place
28,688
+65
F-score:
224th place
638
+5
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...