vet-alfort.fr

The National veterinary school of Alfort is a French public institution of scientific research and higher education in veterinary medicine, located in Maisons-Alfort, Val-de-Marne, close to Paris. It is operated under the supervision of the ministry of Agriculture. More information...

Multilingual Wikipedia

In June 2020 the website vet-alfort.fr was on the 43,329th 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 23,975th place in June 2020. From Wikipedians' point of view, "vet-alfort.fr" is the 36,759th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before larrybrownsports.com and after noh8campaign.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
43,329th place
525,345
-137,389
AR-score:
36,759th place
89,836
-19
F-score:
23,975th place
427
0

French Wikipedia (fr)

PR-score:
2,514th place
520,087
-135,662
AR-score:
3,010th place
86,932
-72
F-score:
2,045th place
411
0

English Wikipedia (en)

PR-score:
938,095th place
1,446
-896
AR-score:
1,084,988th place
266
0
F-score:
315,211th place
6
0

German Wikipedia (de)

PR-score:
238,124th place
1,200
+100
AR-score:
228,107th place
566
0
F-score:
330,066th place
1
0

Italian Wikipedia (it)

PR-score:
155,029th place
588
-1,071
AR-score:
205,952nd place
116
+1
F-score:
146,853rd place
1
0

Polish Wikipedia (pl)

PR-score:
101,513th place
550
+400
AR-score:
55,146th place
900
0
F-score:
133,155th place
1
0

Spanish Wikipedia (es)

PR-score:
263,785th place
313
-157
AR-score:
346,481st place
11
+2
F-score:
286,787th place
1
0

Czech Wikipedia (cs)

PR-score:
62,982nd place
250
+150
AR-score:
31,125th place
600
+50
F-score:
69,036th place
1
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...