parl.ns.ca

Pictou-Antigonish Regional Library is the library system in Nova Scotia.

Multilingual Wikipedia

In June 2020 the website parl.ns.ca was on the 246,200th 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 177,689th place in June 2020. From Wikipedians' point of view, "parl.ns.ca" is the 155,077th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before eleicoesepolitica.com and after juwi.de in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
246,200th place
63,388
+6,905
AR-score:
155,077th place
16,123
+63
F-score:
177,689th place
35
0

English Wikipedia (en)

PR-score:
138,434th place
62,434
+7,364
AR-score:
77,016th place
15,422
+29
F-score:
92,522nd place
25
0

Arabic Wikipedia (ar)

PR-score:
69,366th place
546
-80
AR-score:
66,543rd place
413
+33
F-score:
48,390th place
3
0

Croatian Wikipedia (hr)

PR-score:
24,051st place
147
-129
AR-score:
27,686th place
52
0
F-score:
23,923rd place
1
0

Serbo-Croatian Wikipedia (sh)

PR-score:
16,654th place
120
-20
AR-score:
24,590th place
17
0
F-score:
20,717th place
1
0

Japanese Wikipedia (ja)

PR-score:
230,686th place
73
+37
AR-score:
230,637th place
17
0
F-score:
225,258th place
1
0

Italian Wikipedia (it)

PR-score:
227,822nd place
66
-267
AR-score:
180,728th place
200
0
F-score:
63,953rd place
4
0

Popularity and reliability assessment of sources in references of Wikipedia in different languages. Data extraction based on complex method using Wikimedia dumps in July 2020. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details in the research "Modeling Popularity and Reliability of Sources in Multilingual Wikipedia". Values for PR-score and AR-score were additinaly increased 100 times (to distinguish smaller values in the ranking).