Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain

Multilingual Wikipedia

In June 2020 the work Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain was on the 986th 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 3,200th place in June 2020. From Wikipedians' point of view, "Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain" is the 1,141st most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
986th place
502,740
-167,332
AR-score:
1,141st place
31,030
+53
F-score:
3,200th place
66
0

English Wikipedia (en)

PR-score:
4,550th place
171,091
-43,469
AR-score:
2,720th place
13,649
0
F-score:
9,728th place
15
0

Polish Wikipedia (pl)

PR-score:
208th place
99,416
-78,250
AR-score:
1,228th place
2,066
0
F-score:
23,321st place
1
0

German Wikipedia (de)

PR-score:
1,915th place
53,716
-5,343
AR-score:
2,654th place
3,660
0
F-score:
13,005th place
2
0

Russian Wikipedia (ru)

PR-score:
1,614th place
38,324
-15,131
AR-score:
2,915th place
1,337
0
F-score:
3,908th place
5
0

Chinese Wikipedia (zh)

PR-score:
1,092nd place
32,601
-5,128
AR-score:
2,926th place
878
+5
F-score:
1,307th place
8
0

Hebrew Wikipedia (he)

PR-score:
34th place
25,730
-1,847
AR-score:
91st place
3,914
+29
F-score:
81st place
3
0

French Wikipedia (fr)

PR-score:
2,257th place
21,251
-2,060
AR-score:
3,727th place
1,722
0
F-score:
3,360th place
6
0

Thai Wikipedia (th)

PR-score:
49th place
21,227
+3,111
AR-score:
976th place
275
+12
F-score:
495th place
5
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...