Understanding proboscidean evolution: a formidable task

Multilingual Wikipedia

In June 2020 the work Understanding proboscidean evolution: a formidable task was on the 5,558th 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 2,359th place in June 2020. From Wikipedians' point of view, "Understanding proboscidean evolution: a formidable task" is the 3,808th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
5,558th place
210,505
-71,504
AR-score:
3,808th place
17,131
+20
F-score:
2,359th place
79
0

English Wikipedia (en)

PR-score:
3,911th place
186,047
-28,712
AR-score:
2,917th place
13,212
+12
F-score:
8,721st place
16
0

Italian Wikipedia (it)

PR-score:
3,077th place
9,052
-30,032
AR-score:
3,345th place
1,071
+6
F-score:
32,072nd place
1
0

Indonesian Wikipedia (id)

PR-score:
792nd place
5,434
-143
AR-score:
751st place
571
0
F-score:
186th place
12
0

Turkish Wikipedia (tr)

PR-score:
1,319th place
3,147
-1,463
AR-score:
421st place
1,054
0
F-score:
103rd place
11
0

Romanian Wikipedia (ro)

PR-score:
704th place
3,121
-5,733
AR-score:
721st place
338
0
F-score:
71st place
13
0

Slovenian Wikipedia (sl)

PR-score:
337th place
1,900
-4,200
AR-score:
429th place
400
0
F-score:
2,726th place
1
0

Malay Wikipedia (ms)

PR-score:
498th place
1,375
-269
AR-score:
551st place
225
0
F-score:
48th place
11
0

Albanian Wikipedia (sq)

PR-score:
695th place
254
-26
AR-score:
2,564th place
1
0
F-score:
2,037th place
1
0

Galician Wikipedia (gl)

PR-score:
2,932nd place
127
-904
AR-score:
1,026th place
221
+3
F-score:
137th place
11
0

Spanish Wikipedia (es)

PR-score:
79,621st place
44
-22
AR-score:
64,020th place
34
0
F-score:
17,427th place
2
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...