Deep molluscan phylogeny: synthesis of palaeontological and neontological data

Multilingual Wikipedia

In June 2020 the work Deep molluscan phylogeny: synthesis of palaeontological and neontological data was on the 3,261st 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 2,727th place in June 2020. From Wikipedians' point of view, "Deep molluscan phylogeny: synthesis of palaeontological and neontological data" is the 1,517th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
3,261st place
277,599
-207,978
AR-score:
1,517th place
27,009
+22
F-score:
2,727th place
72
0

English Wikipedia (en)

PR-score:
10,064th place
111,488
-38,898
AR-score:
4,171st place
11,207
+22
F-score:
4,548th place
23
0

Italian Wikipedia (it)

PR-score:
280th place
50,725
-73,825
AR-score:
244th place
4,875
0
F-score:
13,914th place
1
0

Czech Wikipedia (cs)

PR-score:
110th place
40,020
-26,100
AR-score:
202nd place
2,180
0
F-score:
5,187th place
1
0

Korean Wikipedia (ko)

PR-score:
201st place
31,133
-5,667
AR-score:
157th place
3,333
0
F-score:
3,335th place
2
0

Hungarian Wikipedia (hu)

PR-score:
74th place
18,280
-39,920
AR-score:
329th place
1,300
0
F-score:
5,918th place
1
0

Russian Wikipedia (ru)

PR-score:
5,617th place
14,170
-12,497
AR-score:
5,450th place
858
0
F-score:
1,756th place
8
0

Ukrainian Wikipedia (uk)

PR-score:
1,045th place
3,859
-7,001
AR-score:
522nd place
1,090
0
F-score:
347th place
10
0

Polish Wikipedia (pl)

PR-score:
10,466th place
3,549
+106
AR-score:
2,624th place
1,277
0
F-score:
1,254th place
9
0

Bulgarian Wikipedia (bg)

PR-score:
1,182nd place
2,061
-1,885
AR-score:
1,322nd place
240
0
F-score:
57th place
8
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...