mtr-shatincentrallink.hk

The Sha Tin to Central Link is an expansion of the MTR rapid transit network currently under construction in Hong Kong. It is divided into two sections. More information...

Multilingual Wikipedia

In June 2020 the website mtr-shatincentrallink.hk was on the 40,395th 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 62,308th place in June 2020. From Wikipedians' point of view, "mtr-shatincentrallink.hk" is the 32,648th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before saopauloantiga.com.br and after city.akita.akita.jp in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
40,395th place
570,083
-69,633
AR-score:
32,648th place
103,689
-2,719
F-score:
62,308th place
132
0

Chinese Wikipedia (zh)

PR-score:
2,607th place
383,699
-2,273
AR-score:
1,287th place
67,514
+73
F-score:
4,554th place
69
0

English Wikipedia (en)

PR-score:
61,192nd place
170,624
-69,334
AR-score:
41,266th place
32,367
-2,795
F-score:
53,289th place
50
0

Cantonese Wikipedia (zh-yue)

PR-score:
306th place
13,975
+2,400
AR-score:
434th place
3,250
0
F-score:
1,662nd place
4
0

Russian Wikipedia (ru)

PR-score:
230,883rd place
678
-55
AR-score:
252,009th place
118
+3
F-score:
187,579th place
1
0

French Wikipedia (fr)

PR-score:
248,944th place
600
-175
AR-score:
377,845th place
50
0
F-score:
398,019th place
1
0

Indonesian Wikipedia (id)

PR-score:
55,526th place
250
-100
AR-score:
50,867th place
150
0
F-score:
47,422nd place
2
0

Korean Wikipedia (ko)

PR-score:
44,899th place
178
+66
AR-score:
42,919th place
93
0
F-score:
16,860th place
3
0

Polish Wikipedia (pl)

PR-score:
149,912th place
77
-163
AR-score:
124,768th place
145
0
F-score:
90,584th 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...