institutefordiseasemodeling.github.io

Multilingual Wikipedia

In June 2020 the website institutefordiseasemodeling.github.io was on the 55,906th 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 342,271st place in June 2020. From Wikipedians' point of view, "institutefordiseasemodeling.github.io" is the 896,753rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before pokebip.com and after epal-pallets.de in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
55,906th place
389,346
-277,155
AR-score:
896,753rd place
1,666
+12
F-score:
342,271st place
15
0

English Wikipedia (en)

PR-score:
44,518th place
249,927
-153,713
AR-score:
1,060,507th place
291
-1
F-score:
1,470,086th place
1
0

German Wikipedia (de)

PR-score:
14,224th place
108,536
-105,190
AR-score:
173,799th place
966
-40
F-score:
76,765th place
5
0

Polish Wikipedia (pl)

PR-score:
24,662nd place
13,126
-10,056
AR-score:
141,977th place
86
0
F-score:
175,620th place
1
0

French Wikipedia (fr)

PR-score:
86,605th place
7,241
-2,873
AR-score:
322,447th place
123
+42
F-score:
205,370th place
2
0

Arabic Wikipedia (ar)

PR-score:
18,649th place
6,420
-1,521
AR-score:
187,741st place
28
+5
F-score:
84,206th place
2
0

Italian Wikipedia (it)

PR-score:
90,705th place
2,692
-1,270
AR-score:
252,904th place
12
+2
F-score:
252,531st place
1
0

Norwegian Wikipedia (no)

PR-score:
18,577th place
1,087
-2,390
AR-score:
51,764th place
148
+3
F-score:
35,769th place
1
0

Kabyle Wikipedia (kab)

PR-score:
250th place
178
-92
AR-score:
365th place
4
0
F-score:
291st place
1
0

Kannada Wikipedia (kn)

PR-score:
4,904th place
136
-49
AR-score:
20,869th place
3
0
F-score:
21,036th place
1
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...