Evolutionary tracks and isochrones for low- and intermediate-mass stars: From 0.15 to 7 $M_{/odot}$, and from $Z=0.0004$ to 0.03

Multilingual Wikipedia

In June 2020 the work Evolutionary tracks and isochrones for low- and intermediate-mass stars: From 0.15 to 7 $M_{/odot}$, and from $Z=0.0004$ to 0.03 was on the 35,532nd 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 9,059th place in June 2020. From Wikipedians' point of view, "Evolutionary tracks and isochrones for low- and intermediate-mass stars: From 0.15 to 7 $M_{/odot}$, and from $Z=0.0004$ to 0.03" is the 12,573rd most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
35,532nd place
67,570
-22,192
AR-score:
12,573rd place
9,089
+17
F-score:
9,059th place
36
0

English Wikipedia (en)

PR-score:
92,353rd place
25,207
-6,253
AR-score:
42,513th place
3,212
+9
F-score:
85,504th place
4
0

Spanish Wikipedia (es)

PR-score:
12,568th place
9,929
-5,411
AR-score:
10,664th place
726
+1
F-score:
23,833rd place
1
0

Russian Wikipedia (ru)

PR-score:
10,088th place
7,600
+300
AR-score:
5,512th place
850
0
F-score:
37,180th place
1
0

French Wikipedia (fr)

PR-score:
12,067th place
5,076
-3,046
AR-score:
4,380th place
1,545
+2
F-score:
8,080th place
3
0

Japanese Wikipedia (ja)

PR-score:
17,781st place
3,564
-88
AR-score:
12,995th place
250
0
F-score:
4,976th place
4
0

Portuguese Wikipedia (pt)

PR-score:
11,957th place
2,893
-354
AR-score:
11,634th place
285
+1
F-score:
6,367th place
2
0

Korean Wikipedia (ko)

PR-score:
6,065th place
1,612
-379
AR-score:
4,592nd place
222
+2
F-score:
3,125th place
2
0

Arabic Wikipedia (ar)

PR-score:
16,284th place
875
+66
AR-score:
19,555th place
189
0
F-score:
7,988th place
2
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...