My theropod is bigger than yours … or not: estimating body size from skull length in theropods

Multilingual Wikipedia

In June 2020 the work My theropod is bigger than yours … or not: estimating body size from skull length in theropods was on the 1,129th 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 400th place in June 2020. From Wikipedians' point of view, "My theropod is bigger than yours … or not: estimating body size from skull length in theropods" is the 297th most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
1,129th place
474,328
-190,133
AR-score:
297th place
60,670
-3
F-score:
400th place
232
+4

English Wikipedia (en)

PR-score:
1,677th place
281,808
-103,754
AR-score:
2,199th place
15,011
-298
F-score:
1,918th place
36
0

Spanish Wikipedia (es)

PR-score:
5,029th place
27,750
-7,522
AR-score:
2,090th place
2,988
+16
F-score:
973rd place
10
0

Portuguese Wikipedia (pt)

PR-score:
1,080th place
25,050
-2,463
AR-score:
290th place
4,561
+11
F-score:
1,211th place
7
0

German Wikipedia (de)

PR-score:
5,769th place
24,038
-1,653
AR-score:
3,602nd place
3,017
+5
F-score:
966th place
11
0

Russian Wikipedia (ru)

PR-score:
3,366th place
22,488
-8,185
AR-score:
550th place
3,408
-4
F-score:
873rd place
13
0

Chinese Wikipedia (zh)

PR-score:
2,735th place
16,758
-4,557
AR-score:
1,104th place
1,622
+6
F-score:
354th place
16
0

Italian Wikipedia (it)

PR-score:
1,464th place
16,176
-14,681
AR-score:
207th place
5,158
+11
F-score:
255th place
18
0

French Wikipedia (fr)

PR-score:
4,006th place
13,791
-3,572
AR-score:
1,280th place
3,194
-155
F-score:
2,147th place
8
0

Hungarian Wikipedia (hu)

PR-score:
361st place
6,558
-2,002
AR-score:
96th place
2,547
-3
F-score:
23rd place
22
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...