chemteam.info

Multilingual Wikipedia

In June 2020 the website chemteam.info was on the 12,159th 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 36,134th place in June 2020. From Wikipedians' point of view, "chemteam.info" is the 19,395th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before vestifinance.ru and after gilderlehrman.org in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
12,159th place
2,362,924
-838,022
AR-score:
19,395th place
191,016
+5,444
F-score:
36,134th place
259
+2

English Wikipedia (en)

PR-score:
16,694th place
796,903
-160,635
AR-score:
22,669th place
65,528
+4,846
F-score:
67,283rd place
37
+3

Japanese Wikipedia (ja)

PR-score:
4,052nd place
398,185
-48,395
AR-score:
10,965th place
10,098
-39
F-score:
17,704th place
21
-1

French Wikipedia (fr)

PR-score:
5,333rd place
223,281
-119,746
AR-score:
13,812th place
14,703
0
F-score:
97,266th place
4
0

German Wikipedia (de)

PR-score:
9,055th place
177,370
-84,685
AR-score:
12,498th place
20,563
+66
F-score:
90,013th place
4
0

Spanish Wikipedia (es)

PR-score:
16,790th place
106,613
-36,611
AR-score:
35,048th place
5,005
+26
F-score:
54,124th place
6
0

Chinese Wikipedia (zh)

PR-score:
9,989th place
79,378
-1,499
AR-score:
13,258th place
4,682
+6
F-score:
16,633rd place
14
0

Catalan Wikipedia (ca)

PR-score:
1,036th place
31,474
-29,483
AR-score:
3,944th place
6,746
+30
F-score:
6,438th place
19
0

Simple English Wikipedia (simple)

PR-score:
1,071st place
26,650
-7,800
AR-score:
618th place
18,855
+300
F-score:
6,743rd place
5
0

Greek Wikipedia (el)

PR-score:
12,398th place
2,802
+901
AR-score:
11,755th place
848
+20
F-score:
6,229th place
10
0
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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...