NIKOLIC, ANA
Distribuzione geografica
Continente | # |
---|---|
NA - Nord America | 870 |
EU - Europa | 314 |
AS - Asia | 124 |
OC - Oceania | 67 |
SA - Sud America | 13 |
AF - Africa | 6 |
Totale | 1.394 |
Nazione | # |
---|---|
US - Stati Uniti d'America | 853 |
AU - Australia | 67 |
IT - Italia | 59 |
GB - Regno Unito | 53 |
CN - Cina | 43 |
FR - Francia | 38 |
JP - Giappone | 34 |
DE - Germania | 33 |
ES - Italia | 33 |
CA - Canada | 17 |
NL - Olanda | 15 |
BE - Belgio | 11 |
IN - India | 10 |
PL - Polonia | 10 |
SE - Svezia | 10 |
HK - Hong Kong | 9 |
KR - Corea | 8 |
LT - Lituania | 8 |
AT - Austria | 7 |
RU - Federazione Russa | 7 |
CL - Cile | 6 |
IE - Irlanda | 5 |
ZA - Sudafrica | 5 |
BR - Brasile | 4 |
CH - Svizzera | 4 |
ID - Indonesia | 4 |
IR - Iran | 4 |
HU - Ungheria | 3 |
PT - Portogallo | 3 |
TR - Turchia | 3 |
VN - Vietnam | 3 |
CO - Colombia | 2 |
CZ - Repubblica Ceca | 2 |
FI - Finlandia | 2 |
GR - Grecia | 2 |
HR - Croazia | 2 |
AR - Argentina | 1 |
BY - Bielorussia | 1 |
DK - Danimarca | 1 |
EE - Estonia | 1 |
GH - Ghana | 1 |
KZ - Kazakistan | 1 |
LU - Lussemburgo | 1 |
MT - Malta | 1 |
PH - Filippine | 1 |
PK - Pakistan | 1 |
RO - Romania | 1 |
SG - Singapore | 1 |
TH - Thailandia | 1 |
TW - Taiwan | 1 |
UA - Ucraina | 1 |
Totale | 1.394 |
Città | # |
---|---|
Fairfield | 144 |
Ashburn | 86 |
Houston | 77 |
Woodbridge | 62 |
Seattle | 54 |
Cambridge | 40 |
Wilmington | 36 |
Santa Cruz | 34 |
Buffalo | 31 |
Ann Arbor | 24 |
San Diego | 18 |
Beijing | 17 |
Madrid | 17 |
London | 14 |
Modena | 14 |
Mercer Island | 9 |
Boardman | 8 |
Fuzhou | 8 |
Salsomaggiore Terme | 7 |
Shanghai | 7 |
Chicago | 6 |
East Rockaway | 6 |
Glasgow | 6 |
Norristown | 6 |
Seoul | 6 |
Stockholm | 6 |
Calgary | 5 |
Frattamaggiore | 5 |
Las Vegas | 5 |
Mailly-le-Chateau | 5 |
Melbourne | 5 |
Mettendorf | 5 |
Paris | 5 |
Vilnius | 5 |
Yokohama | 5 |
Baltimore | 4 |
Bengaluru | 4 |
Central District | 4 |
Clearwater | 4 |
Los Angeles | 4 |
Mountain View | 4 |
Munich | 4 |
New York | 4 |
Pavia | 4 |
Sävsjö | 4 |
Toronto | 4 |
Warsaw | 4 |
Dublin | 3 |
Hiroshima | 3 |
Lake Forest | 3 |
Markham | 3 |
Muizenberg | 3 |
Newark | 3 |
Phoenix | 3 |
Portland | 3 |
Rome | 3 |
Rovereto | 3 |
Sheffield | 3 |
West Lafayette | 3 |
Wolverhampton | 3 |
Alicante | 2 |
Anderson | 2 |
Bologna | 2 |
Bremen | 2 |
Bristol | 2 |
Cacem | 2 |
Chester | 2 |
City of Westminster | 2 |
Dallas | 2 |
Damme | 2 |
Delhi | 2 |
Den Haag | 2 |
Des Moines | 2 |
Doncaster | 2 |
Dong Ket | 2 |
Egham | 2 |
El Espinar | 2 |
Frankfurt am Main | 2 |
Hangzhou | 2 |
Higashinakajima | 2 |
Homer Glen | 2 |
Jamaica Plain | 2 |
Kingston Upon Thames | 2 |
Kraainem | 2 |
Livorno | 2 |
Moscow | 2 |
Newcastle upon Tyne | 2 |
North Brunswick | 2 |
Nyack | 2 |
Ottawa | 2 |
Oxford | 2 |
Polska | 2 |
Providence | 2 |
Ribadeo | 2 |
Riva | 2 |
San Mateo | 2 |
Santa Clara | 2 |
Santiago | 2 |
Silver Spring | 2 |
Tampa | 2 |
Totale | 955 |
Nome | # |
---|---|
Early onset facioscapulohumeral dystrophy - a systematic review using individual patient data, file e31e124d-1046-987f-e053-3705fe0a095a | 861 |
Clinical expression of facioscapulohumeral muscular dystrophy in carriers of 1-3 D4Z4 reduced alleles: experience of the FSHD Italian National Registry, file e31e124b-6ba7-987f-e053-3705fe0a095a | 213 |
Large scale genotype-phenotype analyses indicate that novel prognostic tools are required for families with facioscapulohumeral muscular dystrophy., file e31e124b-6bde-987f-e053-3705fe0a095a | 150 |
A novel clinical tool to classify facioscapulohumeral muscular dystrophy phenotypes, file e31e124f-09f7-987f-e053-3705fe0a095a | 147 |
Early onset facioscapulohumeral dystrophy - a systematic review using individual patient data, file 99a964de-7ec7-412c-af6d-7afefee681b2 | 64 |
Totale | 1.435 |
Categoria | # |
---|---|
all - tutte | 3.045 |
article - articoli | 0 |
book - libri | 0 |
conference - conferenze | 0 |
curatela - curatele | 0 |
other - altro | 0 |
patent - brevetti | 0 |
selected - selezionate | 0 |
volume - volumi | 0 |
Totale | 3.045 |
Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2018/2019 | 58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 23 | 19 |
2019/2020 | 213 | 23 | 7 | 13 | 15 | 13 | 20 | 23 | 21 | 26 | 23 | 23 | 6 |
2020/2021 | 398 | 18 | 19 | 25 | 30 | 48 | 54 | 21 | 33 | 38 | 58 | 37 | 17 |
2021/2022 | 400 | 29 | 28 | 45 | 29 | 24 | 21 | 49 | 21 | 30 | 39 | 52 | 33 |
2022/2023 | 220 | 14 | 14 | 37 | 29 | 18 | 19 | 19 | 11 | 23 | 12 | 19 | 5 |
2023/2024 | 89 | 4 | 8 | 20 | 9 | 12 | 7 | 7 | 12 | 6 | 4 | 0 | 0 |
Totale | 1.435 |