In vitro reprogramming of fibroblasts into a pluripotent ES-cell-like state

Multilingual Wikipedia

In June 2020 the work In vitro reprogramming of fibroblasts into a pluripotent ES-cell-like state was on the 60,313th 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 37,900th place in June 2020. From Wikipedians' point of view, "In vitro reprogramming of fibroblasts into a pluripotent ES-cell-like state" is the 60,791st most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
60,313th place
45,903
-17,025
AR-score:
60,791st place
3,449
+12
F-score:
37,900th place
15
+3

English Wikipedia (en)

PR-score:
130,290th place
18,536
-5,867
AR-score:
90,127th place
1,970
+2
F-score:
96,445th place
4
0

Polish Wikipedia (pl)

PR-score:
4,134th place
10,331
-7,700
AR-score:
9,186th place
422
0
F-score:
12,585th place
2
0

Spanish Wikipedia (es)

PR-score:
18,407th place
5,987
-2,775
AR-score:
28,148th place
209
0
F-score:
40,683rd place
1
0

Italian Wikipedia (it)

PR-score:
7,323rd place
4,370
-2,118
AR-score:
10,241st place
417
0
F-score:
25,172nd place
1
0

German Wikipedia (de)

PR-score:
30,263rd place
3,522
+337
AR-score:
52,290th place
185
0
F-score:
58,160th place
1
0

Korean Wikipedia (ko)

PR-score:
5,721st place
1,760
+530
AR-score:
15,159th place
43
0
F-score:
12,128th place
1
0

Galician Wikipedia (gl)

PR-score:
181st place
825
+825
AR-score:
23,822nd place
9
+9
F-score:
2,882nd place
3
+3

Russian Wikipedia (ru)

PR-score:
48,804th place
300
-200
AR-score:
28,394th place
137
0
F-score:
34,692nd place
1
0

Indonesian Wikipedia (id)

PR-score:
11,592nd place
268
-58
AR-score:
9,741st place
52
0
F-score:
12,694th place
1
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...