mediasphera.ru

Терапевтический архив is the open access academic journal.

Multilingual Wikipedia

In June 2020 the website mediasphera.ru was on the 15,970th 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 16,235th place in June 2020. From Wikipedians' point of view, "mediasphera.ru" is the 37,923rd most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before swanseacity.com and after gpw.pl in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
15,970th place
1,713,156
-473,074
AR-score:
37,923rd place
86,595
+2,221
F-score:
16,235th place
686
+5

Russian Wikipedia (ru)

PR-score:
1,299th place
1,634,686
-365,007
AR-score:
2,554th place
79,115
+2,170
F-score:
1,510th place
513
+5

Ukrainian Wikipedia (uk)

PR-score:
2,182nd place
54,672
-98,351
AR-score:
6,479th place
4,730
+32
F-score:
2,117th place
100
0

English Wikipedia (en)

PR-score:
285,575th place
22,826
-9,313
AR-score:
370,402nd place
2,320
+3
F-score:
284,100th place
6
0

Armenian Wikipedia (hy)

PR-score:
9,650th place
508
-194
AR-score:
18,658th place
222
+16
F-score:
1,412th place
56
0

Arabic Wikipedia (ar)

PR-score:
106,995th place
148
-34
AR-score:
197,019th place
14
0
F-score:
121,042nd place
1
0

Polish Wikipedia (pl)

PR-score:
136,132nd place
147
+24
AR-score:
162,139th place
38
0
F-score:
94,257th place
2
0

Bashkir Wikipedia (ba)

PR-score:
6,212th place
78
-172
AR-score:
3,951st place
122
0
F-score:
2,067th place
5
0

Estonian Wikipedia (et)

PR-score:
25,737th place
47
-46
AR-score:
32,641st place
10
0
F-score:
19,433rd place
2
0

Chinese Wikipedia (zh)

PR-score:
189,158th place
40
+20
AR-score:
187,051st place
20
0
F-score:
195,926th 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...