Dengue hemorrhagic fever and shock syndromes*

Multilingual Wikipedia

In June 2020 the work Dengue hemorrhagic fever and shock syndromes* was on the 1,387th place in the ranking of the most reliable and popular publications with DOI number 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 work was on the 89th place in June 2020. From Wikipedians' point of view, "Dengue hemorrhagic fever and shock syndromes*" is the 506th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
1,387th place
428,412
-158,330
AR-score:
506th place
46,186
+272
F-score:
89th place
753
0

English Wikipedia (en)

PR-score:
3,705th place
191,156
-78,059
AR-score:
3,781st place
11,711
+49
F-score:
3,569th place
26
0

Chinese Wikipedia (zh)

PR-score:
956th place
35,673
-3,141
AR-score:
884th place
1,850
+16
F-score:
163rd place
25
0

Japanese Wikipedia (ja)

PR-score:
1,896th place
34,448
-10,812
AR-score:
625th place
2,759
+12
F-score:
230th place
27
0

Portuguese Wikipedia (pt)

PR-score:
828th place
30,624
-14,710
AR-score:
86th place
8,417
0
F-score:
140th place
23
0

Italian Wikipedia (it)

PR-score:
734th place
26,356
-14,580
AR-score:
1,181st place
2,106
+1
F-score:
90th place
29
0

Polish Wikipedia (pl)

PR-score:
1,453rd place
25,965
-2,125
AR-score:
4,014th place
936
0
F-score:
161st place
28
0

Indonesian Wikipedia (id)

PR-score:
284th place
11,742
+173
AR-score:
57th place
2,822
0
F-score:
41st place
28
0

Dutch Wikipedia (nl)

PR-score:
685th place
10,813
-5,439
AR-score:
580th place
2,197
+27
F-score:
13th place
27
0

Turkish Wikipedia (tr)

PR-score:
633rd place
6,426
-2,555
AR-score:
789th place
651
0
F-score:
18th place
29
0

Hungarian Wikipedia (hu)

PR-score:
430th place
5,616
-6,271
AR-score:
292nd place
1,408
0
F-score:
10th place
28
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...