GALIMBERTI, GIULIANO
 Distribuzione geografica
Continente #
NA - Nord America 3.567
EU - Europa 3.338
AS - Asia 1.036
AF - Africa 189
SA - Sud America 12
OC - Oceania 8
Continente sconosciuto - Info sul continente non disponibili 5
Totale 8.155
Nazione #
US - Stati Uniti d'America 3.552
IT - Italia 906
GB - Regno Unito 876
DE - Germania 415
CN - Cina 405
VN - Vietnam 380
SE - Svezia 290
UA - Ucraina 209
IN - India 158
FR - Francia 135
IE - Irlanda 133
RU - Federazione Russa 98
TG - Togo 80
ZA - Sudafrica 58
EE - Estonia 54
BG - Bulgaria 51
FI - Finlandia 39
BE - Belgio 31
CH - Svizzera 27
CI - Costa d'Avorio 27
JO - Giordania 26
SC - Seychelles 19
HR - Croazia 14
IR - Iran 14
CA - Canada 13
NL - Olanda 10
AT - Austria 9
ES - Italia 8
PK - Pakistan 7
GR - Grecia 6
TR - Turchia 6
AU - Australia 5
BD - Bangladesh 5
EU - Europa 5
HU - Ungheria 5
JP - Giappone 5
MY - Malesia 5
BR - Brasile 4
LB - Libano 4
NO - Norvegia 4
UZ - Uzbekistan 4
CO - Colombia 3
DK - Danimarca 3
KR - Corea 3
NZ - Nuova Zelanda 3
PL - Polonia 3
RO - Romania 3
SG - Singapore 3
SI - Slovenia 3
BY - Bielorussia 2
MX - Messico 2
NG - Nigeria 2
PE - Perù 2
PH - Filippine 2
SA - Arabia Saudita 2
TW - Taiwan 2
AE - Emirati Arabi Uniti 1
AR - Argentina 1
BA - Bosnia-Erzegovina 1
CL - Cile 1
CZ - Repubblica Ceca 1
EC - Ecuador 1
EG - Egitto 1
ET - Etiopia 1
HK - Hong Kong 1
IL - Israele 1
KE - Kenya 1
MD - Moldavia 1
MN - Mongolia 1
SK - Slovacchia (Repubblica Slovacca) 1
TH - Thailandia 1
Totale 8.155
Città #
Southend 789
Chandler 521
Fairfield 381
Bologna 323
Ashburn 230
Dong Ket 228
Houston 207
Ann Arbor 194
Wilmington 183
Princeton 172
Woodbridge 170
Seattle 147
Jacksonville 146
Cambridge 129
Dublin 128
Nanjing 88
Lomé 80
Westminster 75
Padova 65
Berlin 59
Sofia 51
Milan 46
Jinan 44
New York 43
Medford 37
Turin 36
Helsinki 35
Shenyang 32
Beijing 31
Mülheim 30
Redmond 30
Saint Petersburg 28
Abidjan 27
Amman 26
Brussels 26
San Diego 26
Hebei 25
Redwood City 23
Changsha 22
Tianjin 22
Bern 21
Bremen 21
Nanchang 21
Casavatore 20
Mahé 19
Boardman 17
Des Moines 17
Haikou 16
Rome 16
Los Angeles 13
Jiaxing 12
Taizhou 12
Brooklyn 11
Forlì 10
Parma 10
Dearborn 9
Forlimpopoli 9
Guangzhou 9
Hangzhou 9
Pune 9
Cesena 8
Norwalk 8
Olalla 8
Rimini 8
San Venanzo 8
Taiyuan 8
Zhengzhou 8
Castelfranco Veneto 7
Florence 7
Kunming 7
Multan 7
Philadelphia 7
Vienna 7
Bühl 6
Falls Church 6
Fuzhou 6
Heywood 6
Napoli 6
Dhaka 5
Ferrara 5
Frankfurt am Main 5
Hamburg 5
Iglesias 5
Leawood 5
Naperville 5
Pavullo Nel Frignano 5
Pesaro 5
Reggio Emilia 5
Tokyo 5
Toronto 5
Trieste 5
Amsterdam 4
Argelato 4
Augusta 4
Bari 4
Bogen 4
Celano 4
Chicago 4
Frankfurt Am Main 4
Halifax 4
Totale 5.465
Nome #
Bayesian variable selection in linear regression models with non-normal errors 197
Comparison of three patterns of feed supplementation with live Saccharomyces cerevisiae yeast on postweaning diarrhea, health status, and blood metabolic profile of susceptible weaning pigs orally challenged with Escherichia coli F4ac 187
European agricultural landscapes, common agricultural policy and ecosystem services: a review 176
Modelling the role of variables in model-based cluster analysis 174
Copy number variants in Italian Large White pigs detected using high-density single nucleotide polymorphisms and their association with back fat thickness 149
Combined genomics and metabolomics approaches to identify markers associated with production traits in pigs. 149
A comparative analysis of label-free liquid chromatography-mass spectrometry liver proteomic profiles highlights metabolic differences between pig breeds 147
Notes on the robustness of regression trees against skewed and contaminated errors 144
A time course microarray analysis of post mortem skeletal muscle transcriptional profile in pigs. 142
Quantifying API polymorphs in formulations using X-ray powder diffraction and multivariate standard addition method combined with net analyte signal analysis 141
A selective genotyping approach identifies copy number variants associated with backfat thickness in Italian Large White pigs. 138
A genomewide association study for average daily gain in Italian Large White pigs 136
A candidate gene association study for nine economically important traits in Italian Holstein cattle 132
A machine learning approach for the identification of population-informative markers from high-throughput genotyping data: Application to several pig breeds 132
Bayesian variable selection in linear regression models with non-normal errors 129
Penalized factor mixture analysis for variable selection in clustered data 127
Using conditional independence for parsimonious model-based Gaussian clustering 127
The FAGenomicH project: Towards a whole candidate gene approach to identify markers associated with fatness and production traits in pigs and investigate the pig as a model for human obesity 124
A multivariate linear regression analysis using finite mixtures of t distributions 123
Association between melanocortin 4 receptor (MC4R) gene haplotypes and carcass and production traits in Italian Large White pigs evaluated with a selective genotyping approach. 122
A note on the consistency of the maximum likelihood estimator under multivariate linear cluster-weighted models 117
Variable selection in cell classification problems: a strategy based on independent component analysis 116
Evaluating patient satisfaction through latent class factor analysis 114
Finite mixture models for clustering multilevel data with multiple cluster structures 113
Deconstructing the pig sex metabolome: Targeted metabolomics in heavy pigs revealed sexual dimorphisms in plasma biomarkers and metabolic pathways 113
Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression 113
Binary segmentation methods based on Gini Index: a new approach to the multidensional analysis of income inequalities 112
Combined use of principal component analysis and random forests identify population-informative single nucleotide polymorphisms: Application in cattle breeds 112
Preselection statistics and Random Forest classification identify population informative single nucleotide polymorphisms in cosmopolitan and autochthonous cattle breeds 111
A genome wide association study for backfat thickness in Italian Large White pigs highlights new regions affecting fat deposition including neuronal genes. 110
A model-based procedure for detecting multiple cluster structures 107
Identification and association analysis of several hundred single nucleotide polymorphisms within candidate genes for back fat thickness in Italian Large White pigs using a selective genotyping approach. 105
Microarray gene expression analysis of porcine skeletal muscle sampled at several post mortem time points 104
Classification Trees for Ordinal Responses in R: The rpartScore Package 103
Detecting relevant gene structure through independent component analysis 100
A genome-wide association study for a proxy of intermuscular fat level in the Italian Large White breed identifies genomic regions affecting an important quality parameter for dry-cured hams 99
Identifying multiple cluster structures through latent class models 96
Robust regression trees based on M-estimators 96
Metabolomics evidences plasma and serum biomarkers differentiating two heavy pig breeds 96
Seemingly unrelated clusterwise linear regression 94
Clustering data with multiple cluster structures: a model-based perspective 93
Discussion of “Model-based clustering and classification with non-normal mixture distributions” by S.X. Lee and G.J. McLachlan 93
Genome-wide association study for ham weight loss at first salting in Italian Large White pigs: towards the genetic dissection of a key trait for dry-cured ham production 93
Comparing strategies for robust regression tree construction 92
Un'analisi della soddisfazione dei pazienti del Policlinico S.Orsola-Malpighi di Bologna basata su modelli multilevel di classe latente 92
Multivariate linear regression with non-normal errors: a solution based on mixture models 92
Genome-wide association studies for seven production traits highlight genomic regions useful to dissect dry-cured ham quality and production traits in Duroc heavy pigs 92
Targeted metabolomic profiles of piglet plasma reveal physiological changes over the suckling period 92
Genome-wide association and candidate gene analyses for back fat thickness in Italian Large White pigs 89
Mixtures of experts with flexible concomitant covariate effects: a bayesian solution 89
Evaluating public services through multivariate linear regression analysis 88
Sparse linear regression via random projections ensembles 87
Tree-based methods and decision trees 86
null 86
Genetic markers associated with resistance to infectious diseases have no effects on production traits and haematological parameters in Italian Large White pigs 85
Selective Genotyping Analysis of 677 SNPs to Identify Markers Associated with Back Fat Thickness in Italian Large White Pigs 84
Model-based methods to identify multiple cluster structures in a data set 83
The FAGenomicH project: a whole candidate gene approach to identify markers associated with fatness traits in pigs and investigate the pig as a model for human obesity 81
Genomics and metabolomics approaches to identify markers associated with economic traits in pigs 77
Multiple cluster structures and mixture models: recent developments for multilevel data 76
When size matters: The gonads of larger female yellowfin tuna (Thunnus albacares) have different fatty acid profiles compared to smaller individuals 76
Regression trees for skew dependent variables 75
Detecting multiple cluster structures through model-based clustering methods 75
A retrospective analysis of allele frequency changes of major genes during 20 years of selection in the Italian Large White pig breed 75
CLUSTERING TWO-MODE BINARY NETWORK DATA WITH OVERLAPPING MIXTURE MODEL AND COVARIATES INFORMATION 75
Semiparametric finite mixture of regression models with Bayesian P-splines 75
null 74
How many cluster structures? Answers via a model-based procedure 73
Some issues on robustness of regression trees 73
Genome-wide association studies for 30 haematological and blood clinical-biochemical traits in Large White pigs reveal genomic regions affecting intermediate phenotypes 73
PAC e gestione del paesaggio: quali gli effetti di secondo ordine? 70
Twenty years of artificial directional selection have shaped the genome of the Italian Large White pig breed. 70
latent Classes of Objects and Variable Selection 70
Multivariate linear regression with non-normal errors: a proposal based on mixture models 68
Single-SNP and haplotype-based genome scans for teat number in Italian Large White and Landrace pigs 68
Robust regression tree-based methods 65
Overlapping mixture models for network data (manet) with covariates adjustment 63
rpartScore: Classification trees for ordinal responses 62
Identification of copy number variants associated with back fat thickness in pigs using a selective genotyping approach 58
Semiparametric finite mixture of regression models with Bayesian P-splines 32
Multivariate cluster-weighted models based on seemingly unrelated linear regression 29
Unravelling the genetic basis governing the porcine metabolism 28
Using mixtures in seemingly unrelated linear regression models with non-normal errors 28
Modelling soccer players field position via mixture of Gaussians with flexible weights 24
Whole metabolome and genome analyses provide information on the genetic variability affecting the metabolism in pigs 23
Genome wide perspective of genetic variation in pig metabolism and production traits 21
Identification of population-informative markers from high-density genotyping data through combined feature selection and machine learning algorithms: Application to European autochthonous and cosmopolitan pig breeds 19
Combined targeted and untargeted metabolomics in pigs coupled with genomic information: Towards a comprehensive genetic characterization of the pig metabolome 15
Genome-wide association study for the level of serum electrolytes in Italian Large White pigs 15
Comparative targeted metabolomic profiles of porcine plasma and serum 14
Southern Europe and western Asian marine heatwaves (SEWA-MHWs): A dataset based on macroevents 13
Machine learning methods to predict sea surface temperature and marine heatwave occurrence: a case study of the Mediterranean Sea 1
Totale 8.377
Categoria #
all - tutte 19.771
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 19.771


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/2019111 0 0 0 0 0 0 0 0 0 0 31 80
2019/20201.725 286 48 31 110 142 130 196 222 204 133 98 125
2020/20211.488 235 70 36 59 83 100 21 114 180 112 70 408
2021/20221.640 160 56 114 87 152 77 69 142 52 80 358 293
2022/20231.935 192 331 78 232 154 173 73 97 347 55 123 80
2023/2024793 49 93 50 49 46 158 74 132 22 93 27 0
Totale 8.377