chestpubs.org

Multilingual Wikipedia

In June 2020 the website chestpubs.org was on the 40,345th 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 27,036th place in June 2020. From Wikipedians' point of view, "chestpubs.org" is the 65,171st most reliable source in different language versions of Wikipedia (AR-score).

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

PR-score:
40,345th place
570,809
-159,736
AR-score:
65,171st place
45,286
+157
F-score:
27,036th place
368
0

English Wikipedia (en)

PR-score:
69,419th place
146,904
-33,354
AR-score:
65,326th place
18,751
+23
F-score:
65,742nd place
39
0

French Wikipedia (fr)

PR-score:
8,529th place
133,317
-23,926
AR-score:
25,103rd place
7,599
+31
F-score:
25,662nd place
20
0

Russian Wikipedia (ru)

PR-score:
16,338th place
105,440
-62,002
AR-score:
61,178th place
2,138
0
F-score:
46,072nd place
9
0

Korean Wikipedia (ko)

PR-score:
2,509th place
40,689
+13,437
AR-score:
11,851st place
1,219
0
F-score:
6,264th place
9
0

Spanish Wikipedia (es)

PR-score:
45,481st place
28,116
-13,351
AR-score:
88,079th place
1,434
+29
F-score:
43,195th place
8
0

Serbo-Croatian Wikipedia (sh)

PR-score:
816th place
8,450
-4,254
AR-score:
5,934th place
416
0
F-score:
1,849th place
14
0

Arabic Wikipedia (ar)

PR-score:
17,169th place
7,190
-908
AR-score:
31,650th place
1,206
0
F-score:
9,055th place
23
0

Hebrew Wikipedia (he)

PR-score:
10,678th place
3,419
+437
AR-score:
9,217th place
2,326
+4
F-score:
23,876th place
2
0

Malayalam Wikipedia (ml)

PR-score:
4,771st place
539
0
AR-score:
8,648th place
247
0
F-score:
1,494th place
14
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...