Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts is a research paper published in PLoS Medicine (2020). On theSindex it has a DataRank of 3.5. It has been cited 95 times, with 85 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
Repositories this paper deposited data in (declared in PubMed).
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Base Score Contribution
0.685
From this paper's citation signal
Citation Network Contribution
2.8
From 65 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 85 citers.
Innovative Medicines Initiative
Grant: 115317 (DIRECT)
European Research Council
Grant: ERC-2015-CoG - 681742_NASCENT
Novo Nordisk Foundation
Grant: NNF18OC0031650
Novo Nordisk Foundation
Grant: NNF17OC0027594
Novo Nordisk Foundation
Grant: NNF14CC0001
Wellcome
Grant: 090532
Wellcome
Grant: 098381
Wellcome
Grant: 106130
Wellcome
Grant: 203141
Wellcome
Grant: 212259
NIH
Grant: U01-DK105535
National Institute for Health Research (NIHR)
Grant: 17/0005624
European Research Council
Grant: 681742
Medical Research Council
Grant: MC_UU_00006/4
Novo Nordisk Foundation Center for Protein Research
Grant: PI Søren Brunak
NIDDK NIH HHS
Grant: U01 DK105535
National Institute for Health Research (NIHR)
Grant: CS-2015-15-018
NNF Center for Basic Metabolic Research
Grant: Hansen Group
Novo Nordisk Fonden
Grant: NNF15OC0016692
NNF Center for Basic Metabolic Research
Grant: Pedersen Group
National Institute for Health Research (NIHR)
Grant: NF-SI-0616-10080
National Institute for Health Research (NIHR)
Grant: NF-SI-0617-10090
Steno Diabetes Center Copenhagen (SDCC)
Grant: SDCC 3.F CMP
Medical Research Council
Grant: MC_UU_12015/3
Wellcome Trust
Wellcome Trust Senior Investigator
Hans Werthén
Knut and Alice Wallenberg Foundation
Science for Life Laboratory
Swedish Foundation for Strategic Research
NIHR Exeter Clinical Research Facility
NIHR clinical senior lecturer fellowship
Erling-Persson Foundation
Henning och Johan Throne-Holsts
Wellcome Trust
FWCI
7.13
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 2 of Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ
Additional file 1 of Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ
Additional file 1 of Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ
Additional file 2 of Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ