thehindubusinessline.in

Multilingual Wikipedia

In June 2020 the website thehindubusinessline.in was on the 10,077th 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 12,820th place in June 2020. From Wikipedians' point of view, "thehindubusinessline.in" is the 11,197th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before paddockscout.com and after ncse.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
10,077th place
2,932,610
-477,884
AR-score:
11,197th place
369,678
+1,859
F-score:
12,820th place
910
0

English Wikipedia (en)

PR-score:
5,505th place
2,883,127
-467,416
AR-score:
5,459th place
340,592
+1,119
F-score:
6,872nd place
603
-4

French Wikipedia (fr)

PR-score:
75,318th place
9,058
-2,361
AR-score:
106,148th place
1,406
+5
F-score:
30,577th place
16
0

Spanish Wikipedia (es)

PR-score:
107,860th place
6,156
-2,668
AR-score:
75,749th place
1,800
+17
F-score:
27,908th place
14
0

Tamil Wikipedia (ta)

PR-score:
1,077th place
5,529
-684
AR-score:
925th place
4,243
0
F-score:
706th place
45
0

Russian Wikipedia (ru)

PR-score:
131,475th place
4,150
-1,031
AR-score:
104,796th place
983
0
F-score:
37,461st place
12
0

Telugu Wikipedia (te)

PR-score:
707th place
2,749
+1,863
AR-score:
910th place
1,725
+205
F-score:
543rd place
21
+2

Hindi Wikipedia (hi)

PR-score:
3,292nd place
2,526
-1,874
AR-score:
519th place
8,082
+280
F-score:
1,545th place
16
0

Bengali Wikipedia (bn)

PR-score:
4,027th place
1,709
+12
AR-score:
2,867th place
1,520
+12
F-score:
1,577th place
25
0

Malayalam Wikipedia (ml)

PR-score:
2,525th place
1,255
-1,126
AR-score:
1,709th place
1,837
0
F-score:
1,045th place
20
0
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...