Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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.
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
11 authors.
Vishal H OzaDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0001-6990-0267
Jordan H WhitlockDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0002-9336-545X
Elizabeth J WilkDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0002-7078-1215
Angelina Uno-AntonisonCenter for Computational Genomics and Data Sciences, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Brandon WilkCenter for Computational Genomics and Data Sciences, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0002-4110-2324
Manavalan GajapathyCenter for Computational Genomics and Data Sciences, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0002-8606-0113
Timothy C HowtonDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0002-9423-0135
Austyn TrullCenter for Computational Genomics and Data Sciences, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0002-9262-4202
Lara IanovCivitan International Research Center, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0002-1859-2118
Elizabeth A WortheyCenter for Computational Genomics and Data Sciences, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0003-4083-7764
Brittany N LasseigneDepartment of Cell, Developmental and Integrative Biology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0002-1642-8904
Funding
UAB Pilot Center for Precision Animal Modeling (C-PAM) - Resource and Service SectionU54OD030167 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Bradley K. Yoder · 2020 to 2026
$15.3M
UAB Precision Nutrition Clinical CenterUG1HD107688 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER, James O Hill · 2022 to 2026
$13.1M
UAB Childhood Cystic Kidney Disease Core Center (UAB-CCKDCC) - Therapeutic Development and Screening ResourceU54DK126087 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Bradley K. Yoder · 2020 to 2026
$6.7M
Training Program in Cell, Molecular, and Developmental BiologyT32GM008111 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YODER, BRADLEY K. · 1985 to 2022
$5.4M
Integrating multidimensional genomic data to discover clinically-relevant predictive models-Alzheimer's SupplementR00HG009678 · NHGRI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LASSEIGNE, BRITTANY NICOLE · 2019 to 2021
$961k
Using Common Fund data to inform rare disease preclinical models and prioritize drug repurposingR03OD030604 · OD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LASSEIGNE, BRITTANY NICOLE · 2020 to 2020
With an increasing amount of biological data available publicly, there is a need for a guide on how to successfully download and use this data. The 10 simple rules for using public biological data are: (1) use public data purposefully in your research; (2) evaluate data for your use case; (3) check data reuse requirements and embargoes; (4) be aware of ethics for data reuse; (5) plan for data storage and compute requirements; (6) know what you are downloading; (7) download programmatically and verify integrity; (8) properly cite data; (9) make reprocessed data and models Findable, Accessible, Interoperable, and Reusable (FAIR) and share; and (10) make pipelines and code FAIR and share. These rules are intended as a guide for researchers wanting to make use of available data and to increase data reuse and reproducibility.
Indexed as
Information Storage and RetrievalReproducibility of Results
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 OpenQuestion graph.
Ten simple rules for using public biological data for your research. · full record | OpenQuestion