Article in Frontiers in cell and developmental biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 18% of its field
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literature
Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
4 authors at 2 institutions in 1 country.
J Michael SalbaumDepartment of Regulation of Gene Expression, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States.
Kirsten P StoneDepartment of Developmental Biology, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States.
Claudia KrugerDepartment of Developmental Biology, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States.
Claudia KappenDepartment of Developmental Biology, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States.
Pennington Biomedical Research Center · USLouisiana State University System · US
Funding
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Sujoy Ghosh · 2005 to 2026
$26.5M
The role of maternal obesity-driven inflammation and adverse pregnancy outcomes in a mouse model of preeclampsiaP20GM135002 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI David H Burk · 2020 to 2026
$18.4M
Mentoring Obesity and Diabetes Research in LouisianaP20GM103528 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI GETTYS, THOMAS W · 2012 to 2015
$8.8M
Transgenics CoreP30GM118430 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI GETTYS, THOMAS W · 2016 to 2020
$5.8M
Epigenetic Mechanisms in Diabetic EmbryopathyR01HD086604 · NICHD · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI KAPPEN, CLAUDIA T · 2016 to 2022
$2.8M
Molecular Basis for Individual Susceptibility to Neural Tube DefectsR01HD087283 · NICHD · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI KAPPEN, CLAUDIA T · 2016 to 2021
$2.8M
Diabetic Pregnancies and GastrulationR01HD085017 · NICHD · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI SALBAUM, J MICHAEL · 2015 to 2020
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.
Differential responses to maternal diabetes in embryo and visceral yolk sac. · full record | Socratic