Chronic inflammation: importance of NOD2 and NALP3 in interleukin-1? generation

Multilingual Wikipedia

In June 2020 the work Chronic inflammation: importance of NOD2 and NALP3 in interleukin-1? generation was on the 19,366th 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 40,676th place in June 2020. From Wikipedians' point of view, "Chronic inflammation: importance of NOD2 and NALP3 in interleukin-1? generation" is the 8,702nd most reliable publication with DOI number in different language versions of Wikipedia (AR-score).

PR-score:
19,366th place
101,016
-60,881
AR-score:
8,702nd place
11,157
0
F-score:
40,676th place
14
0

Swedish Wikipedia (sv)

PR-score:
11th place
59,900
-47,400
AR-score:
38th place
6,700
0
F-score:
3,449th place
1
0

English Wikipedia (en)

PR-score:
152,595th place
15,863
-4,924
AR-score:
339,445th place
596
0
F-score:
411,643rd place
1
0

Slovak Wikipedia (sk)

PR-score:
27th place
14,650
-6,300
AR-score:
60th place
1,400
0
F-score:
329th place
2
0

Hindi Wikipedia (hi)

PR-score:
78th place
3,600
-1,300
AR-score:
229th place
500
0
F-score:
3,277th place
1
0

Minangkabau Wikipedia (min)

PR-score:
5th place
1,800
+250
AR-score:
17th place
100
0
F-score:
177th place
1
0

Pashto Wikipedia (ps)

PR-score:
4th place
1,600
-200
AR-score:
4th place
700
0
F-score:
52nd place
1
0

Assamese Wikipedia (as)

PR-score:
57th place
700
-250
AR-score:
267th place
50
0
F-score:
875th place
1
0

Tamil Wikipedia (ta)

PR-score:
548th place
675
-550
AR-score:
297th place
550
0
F-score:
5,616th place
1
0

Galician Wikipedia (gl)

PR-score:
1,187th place
254
-55
AR-score:
4,547th place
72
0
F-score:
15,103rd place
1
0

Arabic Wikipedia (ar)

PR-score:
82,476th place
25
-25
AR-score:
9,613th place
375
0
F-score:
36,624th place
1
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...